Journal articles: 'Digital image acquisition'

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Williams, Mark B., Elizabeth A. Krupinski, Keith J. Strauss, William K. Breeden, Mark S. Rzeszotarski, Kimberly Applegate, Margaret Wyatt, Sandra Bjork, and J. Anthony Seibert. "Digital Radiography Image Quality: Image Acquisition." Journal of the American College of Radiology 4, no. 6 (June 2007): 371–88. http://dx.doi.org/10.1016/j.jacr.2007.02.002.

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Reichenbach, Stephen E. "Characterizing digital image acquisition devices." Optical Engineering 30, no. 2 (1991): 170. http://dx.doi.org/10.1117/12.55783.

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Cowen, A. R., G. J. S. Parkin, and P. Hawkridge. "Direct digital mammography image acquisition." European Radiology 7, no. 6 (July 1997): 918–30. http://dx.doi.org/10.1007/s003300050228.

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Williams, Mark B., Martin J. Yaffe, Andrew D. A. Maidment, Melissa C. Martin, J. Anthony Seibert, and Etta D. Pisano. "Image Quality in Digital Mammography: Image Acquisition." Journal of the American College of Radiology 3, no. 8 (August 2006): 589–608. http://dx.doi.org/10.1016/j.jacr.2006.04.004.

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Chen, Ya. "Digital Image Acquisition and Presentation for High Resolution SEM." Microscopy and Microanalysis 4, S2 (July 1998): 68–69. http://dx.doi.org/10.1017/s1431927600020468.

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Images obtained from an analog SEM are traditionally viewed and recorded from a cathode-ray tube (CRT). Many laboratories use instant film (e.g. Polaroid #52, #55 instant film) to justify image quality and obtain permanent image quickly. Digital imaging provides an alternative approach for image acquisition and recording. One major advantage of digital SEM is image averaging that allows one to improve the signal-to-noise ratio (SNR) from a noisy quick-scan image to reduce charging. SEM signal yield is proportional to incident beam intensity, image acquisition time or duration of beam interaction with specimen (dwell time). The higher beam intensity, or longer the dwell time, the more signal generated. However, for high-resolution SEM imaging, the beam dose and dwell time are limited by drafting, radiation damage, and contamination. Therefore high-resolution biological SEM images invariably have poor SNR.

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Cruz, Domingos, Carla Valentí, Aureliano Dias, Mário Seixas, and Fernando Schmitt. "Digital Image Documentation for Quality Assessment." Archives of Pathology & Laboratory Medicine 125, no. 11 (November 1, 2001): 1430–35. http://dx.doi.org/10.5858/2001-125-1430-didfqa.

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Abstract Objective.—To demonstrate the feasibility of the use of digital images to document routine cases and to perform diagnostic quality assessment. Methods.—Pathologists documented cases by acquiring up to 12 digital images per case. The images were sampled at 25:1, 50:1, 100:1, 200:1, or 400:1 magnifications, according to adequacy in aiding diagnosis. After each acquisition, the referral pathologist marked a region of interest within each acquired image in order to evaluate intrinsic redundancy. The extrinsic redundancy was determined by counting the unnecessary images. Cases were randomly selected and reviewed by one pathologist. The quality of each image, the possibility of accomplishing a diagnosis based on images, and the degree of agreement was evaluated. Results.—During routine practice, 1469 cases were documented using 3902 images. Most of the images were acquired at higher power magnifications. From all acquired cases, 143 cases and their 373 related images were randomly selected for review. In 88.1% (126/143) of reviewed cases, it was possible to accomplish the diagnosis based on images. In 30.2% (38/126) of these cases, the reviewer considered that the diagnosis could be accomplished with fewer images. The referral pathologist and the reviewer found intrinsic redundancy in 57.8% and 54.5% of images, respectively. Conclusions.—Our results showed that digital image documentation to perform diagnostic quality assessment is a feasible solution. However, owing to the impact on routine practice, guidelines for acquisition and documentation of cases may be needed.

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Akbal, Erhan, and Sengul Dogan. "Forensics Image Acquisition Process of Digital Evidence." International Journal of Computer Network and Information Security 10, no. 5 (May 8, 2018): 1–8. http://dx.doi.org/10.5815/ijcnis.2018.05.01.

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Le Floch, H., J. L. Franceschi, T. Gouraud, and P. Launay. "Digital image acquisition in scanning electron microscopy." Scanning 9, no. 1 (1987): 26–30. http://dx.doi.org/10.1002/sca.4950090105.

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Gu, Hong Wei, Wang Zhang, Wen Hai Xu, and Ying Li. "Digital Measurement System for Ship Draft Survey." Applied Mechanics and Materials 333-335 (July 2013): 312–16. http://dx.doi.org/10.4028/www.scientific.net/amm.333-335.312.

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In order to overcome the limits of visual observation widely used in ship draft survey, a digital measurement system based on image acquisition and processing is presented. The images of drafts are obtained by an image acquisition unit containing a high definition camera extended to the shipboard from the deck. The draft marks are digitalized in use of a multilayer neural network, and the draft lines are detected by means of color image segmentation algorithm. Finally, the ship's trim are identified based on the relative position of the draft line located at the digitalized draft marks, where the artificial influences are eliminated. The influences of wave may also be reduced by calculating the mean value of the ship's trim obtained from different images.

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Mattoon, J. S. "Digital radiography." Veterinary and Comparative Orthopaedics and Traumatology 19, no. 03 (2006): 123–32. http://dx.doi.org/10.1055/s-0038-1632988.

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SummaryDigital radiography has been used in human medical imaging since the 1980's with recent and rapid acceptance into the veterinary profession. Using advanced image capture and computer technology, radiographic images are viewed on a computer monitor. This is advantageous because radiographic images can be adjusted using dedicated computer software to maximize diagnostic image quality. Digital images can be accessed at computer workstations throughout the hospital, instantly retrieved from computer archives, and transmitted via the internet for consultation or case referral. Digital radiographic data can also be incorporated into a hospital information system, making record keeping an entirely paperless process. Digital image acquisition is faster when compared to conventional screen-film radiography, improving workflow and patient throughput. Digital radiography greatly reduces the need for “retake” radiographs because of wide latitude in exposure factors. Also eliminated are costs associated with radiographic film and x-ray film development. Computed radiography, charged coupled devices, and flat panel detectors are types of digital radiography systems currently available.

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Peters, Klaus-Ruediger, William H. Martin, and Eisaku Oho. "Digital imaging with field emission scanning electron microscopes (FSEM)." Proceedings, annual meeting, Electron Microscopy Society of America 50, no. 2 (August 1992): 1276–77. http://dx.doi.org/10.1017/s0424820100131012.

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Digital image acquisition and display of field emission scanning electron micrographs face limitations in terms of detail recognition, sampling of high resolution information, image output and storage space for high pixel density images. The image acquisition and image output of a JEOL JSEM-890 “in lens” field emission SEM were digitized and several approaches for adequate access to the scanned electron probe data have been developed. Images are acquired digitally in 3×4 VGA format (in multiples of 640×490 pixels) and stored in a RECOGNITION CONCEPTS INC. image processor (Trapix Plus). The images are displayed on workstation monitors with 1280×1024 format (HITACHI CM2085MU), and image documentation is done by several techniques of varying output quality. Low quality image documentation on plain paper can be obtained using a laser jet printer (HEWLETT PACKARD: Laser Jet III). High quality output is provided by a video printer utilizing special but inexpensive paper (SEIKOSHA VP350H). In addition, conventional analog CRT output and CRT photography on 4×5 inch POLAROID (Type 55 Positive/Negative) film is used.

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Mansfield, John. "A basic introduction to image processing using NIH-Image as a model." Proceedings, annual meeting, Electron Microscopy Society of America 52 (1994): 392–93. http://dx.doi.org/10.1017/s0424820100169699.

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Advances in camera technology and digital instrument control have meant that in modern microscopy, the image that was, in the past, typically recorded on a piece of film is now recorded directly into a computer. The transfer of the analog image seen in the microscope to the digitized picture in the computer does not mean, however, that the problems associated with recording images, analyzing them, and preparing them for publication, have all miraculously been solved. The steps involved in the recording an image to film remain largely intact in the digital world. The image is recorded, prepared for measurement in some way, analyzed, and then prepared for presentation.Digital image acquisition schemes are largely the realm of the microscope manufacturers, however, there are also a multitude of “homemade” acquisition systems in microscope laboratories around the world. It is not the mission of this tutorial to deal with the various acquisition systems, but rather to introduce the novice user to rudimentary image processing and measurement.

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Murphy, Judy A. "Image Management for a Multi-Instrument, Multi-Platform Teaching Facility and Implications for Outreach Programs." Microscopy and Microanalysis 6, S2 (August 2000): 1166–67. http://dx.doi.org/10.1017/s1431927600038320.

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In the digital age, the management of images can be very time consuming when there are several digital image acquisition systems involved. For simplicity in this article, databases have been categorized as active or passive. Active databases are those where the categorization of the image is done during the image acquisition. Passive databases by this definition use saved images that are then categorized after image acquisition. The databases can be further separated based on whether they are multi-platform where they usually use a browser of some sort or Java script, or are specific to a certain platform such that no browser is involved. Some databases allow user defined fields, and some do not. Many of the image database software packages were made for categorizing images after they were collected i.e. passive, and developed for photography, catalogues, newspapers, etc. which do not necessarily cater to the needs in microscopy.

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SAKAKIBARA, Jun. "Digital Image Acquisition by PCI Bus Frame Grabbers." Journal of the Visualization Society of Japan 18, no. 68 (1998): 10–17. http://dx.doi.org/10.3154/jvs.18.10.

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Ang, W. M., Terry McMahon, Don Schulte, and Leon Ungier. "Inexpensive digital image acquisition for scanning electron microscopes." Review of Scientific Instruments 66, no. 2 (February 1995): 1151–53. http://dx.doi.org/10.1063/1.1145995.

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Petroll, W. M., H. D. Cavanagh, M. A. Lemp, P. M. Andrews, and J. V. Jester. "Digital image acquisition in in vivo confocal microscopy." Journal of Microscopy 165, no. 1 (January 1992): 61–69. http://dx.doi.org/10.1111/j.1365-2818.1992.tb04305.x.

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Sujlana, Parvinder S., Mahadevappa Mahesh, Srinivasan Vedantham, Susan C. Harvey, Lisa A. Mullen, and Ryan W. Woods. "Digital breast tomosynthesis: Image acquisition principles and artifacts." Clinical Imaging 55 (May 2019): 188–95. http://dx.doi.org/10.1016/j.clinimag.2018.07.013.

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Hiller, S. A., W. Probst, V. Seybold, and E. Zellmann. "New Slow-Scan CCD Cameras (SSC) with Frame/Interline CCD Architecture Avoid TEM Shutter Control, Provide Excellent Image Quality and can be Easily Retrofitted." Microscopy and Microanalysis 5, S2 (August 1999): 350–51. http://dx.doi.org/10.1017/s1431927600015075.

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Since it's introduction into TEM in 1986 [1] SSCs have become an effective and easy-to-use solution for acquiring high quality digital images electronically. Their main advantages are excellent linearity, very high dynamic, high sensitivity, and low noise. These advantages have made SSCs a nondispensable tool for quantitative image analysis. Moreover, since SSCs make high quality TEM images available in a computer within fraction of seconds, on-line image processing and software driven automated TEM tuning has become possible [2]. Many of the experiments which are performed nowadays in the area of high resolution, low dose, holographic reconstruction, and EFTEM [3] would not be possible without the digital input coming from SSCs.Like recording images with a film sheet camera, digital recording of images with SSC requires control of the TEM beam blanker (shutter) by the SSC synchronised with the image acquisition process.This blanker (shutter) control is a critical link in the chain to the digital image. Many older TEMs do not have direct access to beam blanking coils, or contrary to modern TEMs their coils are not designed to support hysteresis-free fast beam blanking, what is essential for acquisition of high quality digital images by a SSC.

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Yu, Fu Sheng, Zhong Guo Sun, Sheng Jiang Yin, Teng Fei Li, and Wei Kang Shi. "Study on the Positioning Error of Turntable Based on Machine Vision System." Applied Mechanics and Materials 530-531 (February 2014): 467–71. http://dx.doi.org/10.4028/www.scientific.net/amm.530-531.467.

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This paper developed a turntable positioning error measurement system based on machine vision. The system consists of image acquisition devices, the image acquisition card, computer and data processing software and other components. Among them, the image acquisition devices consisted of two digital CCD cameras and two microscope objectives. The image acquisition devices capture images of fixture fixed on the turntable in horizontal and vertical direction. Then, the collected images are processed by adopting the filtering method, binarization method, edge detection method, calibration method and other steps. The high-accuracy measure of turntables positioning errors is realized, and the error histogram is drawn. Theoretical analysis and experimental results show that the method is correct and feasible.

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Gray, J., S. Lockett, L. Mascio, J. Mullikin, D. Pinkel, J. Piper, D. Sudar, and C. Thompson. "Digital imaging microscopy for molecular cytogenetics." Proceedings, annual meeting, Electron Microscopy Society of America 52 (1994): 82–83. http://dx.doi.org/10.1017/s0424820100168141.

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Digital imaging microscopy is an essential tool in molecular cytogenetics. We describe here, hardware and software for sensitive multi-color image acquisition and display, gene mapping, generation ofcopy number karyotypes using comparative genomic hybridization (CGH), and correlation between genotype and histology in three dimensions.(a) QUantitative Image Processing System (QUIPS):Hardware We have developed a QUIPS that is now in routine use. This system is built around a commercial fluorescence microscope equipped with computer-controlled stage, focus and fluorescence excitation filter selection. A high resolution cooled CCD camera and a video frame rate intensified CCD (ICCD) are attached to different ports on the microscope and light is split between them. The real time images of the ICCD are continuously displayed on a monitor and are used for visual scanning and focusing. The high resolution CCD is used for image acquisition. Images from the CCD are digitized at 12 bits per pixel resulting in high dynamic range and high precision. QUIPS employs a fluorescence filter package containing a beam splitter and emission filter that pass light in bands centered at approximately 440 nm (blue), 525 nm (green) and 600 nm (red).

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Boita, Joana, Ruben E. van Engen, Alistair Mackenzie, Anders Tingberg, Hilde Bosmans, Anetta Bolejko, Sophia Zackrisson, et al. "How does image quality affect radiologists’ perceived ability for image interpretation and lesion detection in digital mammography?" European Radiology 31, no. 7 (January 21, 2021): 5335–43. http://dx.doi.org/10.1007/s00330-020-07679-8.

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Abstract Objectives To study how radiologists’ perceived ability to interpret digital mammography (DM) images is affected by decreases in image quality. Methods One view from 45 DM cases (including 30 cancers) was degraded to six levels each of two acquisition-related issues (lower spatial resolution and increased quantum noise) and three post-processing-related issues (lower and higher contrast and increased correlated noise) seen during clinical evaluation of DM systems. The images were shown to fifteen breast screening radiologists from five countries. Aware of lesion location, the radiologists selected the most-degraded mammogram (indexed from 1 (reference) to 7 (most degraded)) they still felt was acceptable for interpretation. The median selected index, per degradation type, was calculated separately for calcification and soft tissue (including normal) cases. Using the two-sided, non-parametric Mann-Whitney test, the median indices for each case and degradation type were compared. Results Radiologists were not tolerant to increases (medians: 1.5 (calcifications) and 2 (soft tissue)) or decreases (median: 2, for both types) in contrast, but were more tolerant to correlated noise (median: 3, for both types). Increases in quantum noise were tolerated more for calcifications than for soft tissue cases (medians: 3 vs. 4, p = 0.02). Spatial resolution losses were considered less acceptable for calcification detection than for soft tissue cases (medians: 3.5 vs. 5, p = 0.001). Conclusions Perceived ability of radiologists for image interpretation in DM was affected not only by image acquisition-related issues but also by image post-processing issues, and some of those issues affected calcification cases more than soft tissue cases. Key Points • Lower spatial resolution and increased quantum noise affected the radiologists’ perceived ability to interpret calcification cases more than soft tissue lesion or normal cases. • Post-acquisition image processing-related effects, not only image acquisition-related effects, also impact the perceived ability of radiologists to interpret images and detect lesions. • In addition to current practices, post-acquisition image processing-related effects need to also be considered during the testing and evaluation of digital mammography systems.

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Mackenzie, John M. "The Importance of Gamma Correction in the Acquisition, Display and Hardcoy of Digital Images." Microscopy and Microanalysis 3, S2 (August 1997): 343–44. http://dx.doi.org/10.1017/s1431927600008606.

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Digital imaging is replacing conventional photography in many applications. As the quality of digital images improves, more applications for this technology will be found. This talk will examine the importance of gamma correction in digital imaging.Although many researchers believe that digital imaging will soon replace photography, it is probably more correct to think of digital imaging as an enhancement to photography. The most critical problem with translating our knowledge of photography to digital imaging is that photography operates exclusively via logarithmic functions. The exposure versus density curves common to photography have an x axis that is logarithmic. The development curves for film and paper are also logarithmic. The slope of the log-linear portion of this curve is designated gamma. All operations normally performed in the darkroom whether processing film or prints manipulate the gamma functions to achieve the best recorded image. The first rule that should be obvious is that every image has a different optimal gamma and every different image medium (whether graded photographic paper or the density of print on a digital image printer) will change that optimal gamma.

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Szczepański, Marek, and Filip Giemza. "Noise Removal in the Developing Process of Digital Negatives." Sensors 20, no. 3 (February 7, 2020): 902. http://dx.doi.org/10.3390/s20030902.

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Most modern color digital cameras are equipped with a single image sensor with a color filter array (CFA). One of the most important stages of preprocessing is noise reduction. Most research related to this topic ignores the problem associated with the actual color image acquisition process and assumes that we are processing the image in the sRGB space. In the presented paper, the real process of developing raw images obtained from the CFA sensor was analyzed. As part of the work, a diverse database of test images in the form of a digital negative and its reference version was prepared. The main problem posed in the work was the location of the denoising and demosaicing algorithms in the entire raw image processing pipeline. For this purpose, all stages of processing the digital negative are reproduced. The process of noise generation in the image sensors was also simulated, parameterizing it with ISO sensitivity for a specific CMOS sensor. In this work, we tested commonly used algorithms based on the idea of non-local means, such as NLM or BM3D, in combination with various techniques of interpolation of CFA sensor data. Our experiments have shown that the use of noise reduction methods directly on the raw sensor data, improves the final result only in the case of highly disturbed images, which corresponds to the process of image acquisition in difficult lighting conditions.

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Liu, Li, and Qing Hong Wu. "Image Acquisition Method Based on TMS320DM642." Applied Mechanics and Materials 397-400 (September 2013): 2196–99. http://dx.doi.org/10.4028/www.scientific.net/amm.397-400.2196.

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A method of the image acquisition based on digital signal processor (DSP) is introduced. DSP, complex programmable logic device (CPLD) and contact image sensor (CIS) are combined in the hardware design, and the time-sequence analysis of the image acquisition process is also presented. Practical application indicates that this method has high accuracy and is rapid enough to satisfy the requirement of real-time acquisition.

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Mansfield, John F. "Digital Imaging: When Should One Take The Plunge?" Microscopy Today 5, no. 4 (May 1997): 14–15. http://dx.doi.org/10.1017/s1551929500061393.

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The current imaging trend in optical microscopy, scanning electron microscopy (SEM) or transmission electron microscopy (TEM) is to record all data digitally. Most manufacturers currently market digital acquisition systems with their microscope packages. The advantages of digital acquisition include: almost instant viewing of the data as a high-quality positive image (a major benefit when compared to TEM images recorded onto film, where one must wait until after the microscope session to develop the images); the ability to readily quantify features in the images and measure intensities; and extremely compact storage (removable 5.25” storage devices which now can hold up to several gigabytes of data).

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Liu, Jianxiong, Christos Bouganis, and Peter Y. K. Cheung. "Context-based image acquisition from memory in digital systems." Journal of Real-Time Image Processing 16, no. 4 (May 5, 2016): 1057–76. http://dx.doi.org/10.1007/s11554-016-0591-1.

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Erlandsen, S. L., P. Telega, E. Chi, W. Dobson, and E. Egelman. "Digital image acquisition for the Hitachi S-900 field-emission SEM." Proceedings, annual meeting, Electron Microscopy Society of America 52 (1994): 1034–35. http://dx.doi.org/10.1017/s0424820100172905.

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Users of the Hitachi S-900 field emission SEM attempting to do high resolution topographical studies of cell surfaces (or macromolecular assemblies) and correlative localization of colloidal gold probes are handicapped by imaging conditions related to contamination or radiation damage of the specimen surface since secondary (SE) and backscatter (BS) electron imaging must be done consecutively.We have developed a digitial acquisition system for the S-900 FESEM using an analog/digital conversion board on the VME bus of a Silicon Graphics IRIS, using the conventional and graphics memory for image storage, rather than using a frame grabber with its internal A/D and frame memory. A DT-1492-G board from Data Translation with a 250 kHz throughput was used for the 12-bit A/D circuitry. We collect data at 12-bit resolution, and use the frame buffer memory on the IRIS for separately converting, and then displaying as 8-bit (greyscale, 256 levels) SE and BS electron images.

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Arosio, G. "Tecnica DSA: Presente e futuro." Rivista di Neuroradiologia 10, no. 2_suppl (October 1997): 77–78. http://dx.doi.org/10.1177/19714009970100s230.

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Digital Subtraction Angiography has been very important for advances in diagnostic and interventional procedures in Neuroradiology. The introduction of new image intensifiers and TV chains introduction, specific computer systems and high-speed digital image processors developments, new image processing techniques for interventional new C-arm generation, pulsed fluoroscopy and new digital acquisition modes as rotational angiography are the main features of current Digital Angiography Systems. New software is under clinical evaluation as 3D reconstruction of the brain vessels, using a set of DSA images taken around the patient during rotational angiography, and image intensifier geometrical distorsion correction for DSA stereotactic applications.

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Tetard, Martin, Ross Marchant, Giuseppe Cortese, Yves Gally, Thibault de Garidel-Thoron, and Luc Beaufort. "Technical note: A new automated radiolarian image acquisition, stacking, processing, segmentation and identification workflow." Climate of the Past 16, no. 6 (December 2, 2020): 2415–29. http://dx.doi.org/10.5194/cp-16-2415-2020.

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Abstract. Identification of microfossils is usually done by expert taxonomists and requires time and a significant amount of systematic knowledge developed over many years. These studies require manual identification of numerous specimens in many samples under a microscope, which is very tedious and time-consuming. Furthermore, identification may differ between operators, biasing reproducibility. Recent technological advances in image acquisition, processing and recognition now enable automated procedures for this process, from microscope image acquisition to taxonomic identification. A new workflow has been developed for automated radiolarian image acquisition, stacking, processing, segmentation and identification. The protocol includes a newly proposed methodology for preparing radiolarian microscopic slides. We mount eight samples per slide, using a recently developed 3D-printed decanter that enables the random and uniform settling of particles and minimizes the loss of material. Once ready, slides are automatically imaged using a transmitted light microscope. About 4000 specimens per slide (500 per sample) are captured in digital images that include stacking techniques to improve their focus and sharpness. Automated image processing and segmentation is then performed using a custom plug-in developed for the ImageJ software. Each individual radiolarian image is automatically classified by a convolutional neural network (CNN) trained on a Neogene to Quaternary radiolarian database (currently 21 746 images, corresponding to 132 classes) using the ParticleTrieur software. The trained CNN has an overall accuracy of about 90 %. The whole procedure, including the image acquisition, stacking, processing, segmentation and recognition, is entirely automated via a LabVIEW interface, and it takes approximately 1 h per sample. Census data count and classified radiolarian images are then automatically exported and saved. This new workflow paves the way for the analysis of long-term, radiolarian-based palaeoclimatic records from siliceous-remnant-bearing samples.

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Ogama, Takeo. "A beginner’s guide to improving image acquisition in fluorescence microscopy." Biochemist 42, no. 6 (December 7, 2020): 22–27. http://dx.doi.org/10.1042/bio20200075.

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This article presents an overview of optical microscopy and digs into the details of fluorescence microscopy, exploring the link between the signals in biological samples and the digital data from microscope cameras. Understanding this relationship can help you set the ideal image acquisition conditions to achieve the highest quality images and data.

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Gill, Jasmeen, Akshay Girdhar, and Tejwant Singh. "A Review of Enhancement and Segmentation Techniques for Digital Images." International Journal of Image and Graphics 19, no. 03 (July 2019): 1950013. http://dx.doi.org/10.1142/s021946781950013x.

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Image enhancement and segmentation are the two imperative steps while processing digital images. The goal of enhancement is to improve the quality of images so as to nullify the effect of poor illumination conditions during image acquisition. Afterwards, segmentation is performed to extract region of interest (ROI) from the background details of the image. There is a vast literature available for both the techniques. Therefore, this paper is intended to summarize the basic as well as advanced enhancement and segmentation techniques under a single heading; to provide an insight for future researches in the field of pattern recognition.

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Loft, Mathias, Camilla B. Johnbeck, Esben A. Carlsen, Helle H. Johannesen, Peter Oturai, Seppo W. Langer, Ulrich Knigge, and Andreas Kjaer. "Initial Experience with 64Cu-DOTATATE Digital PET of Patients with Neuroendocrine Neoplasms: Comparison with Analog PET." Diagnostics 11, no. 2 (February 19, 2021): 350. http://dx.doi.org/10.3390/diagnostics11020350.

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The recent introduction of solid-state detectors in clinical positron emission tomography (PET) scanners has significantly improved image quality and spatial resolution and shortened acquisition time compared to conventional analog PET scanners. In an initial evaluation of the performance of our newly acquired Siemens Biograph Vision 600 PET/CT (digital PET/CT) scanner for 64Cu-DOTATATE imaging, we compared PET/CT acquisitions from patients with neuroendocrine neoplasms (NENs) grades 1 and 2 and stable disease on CT who were scanned on both our Siemens Biograph 128 mCT PET/CT (analog PET/CT) and digital PET/CT within 6 months as part of their routine clinical management. Five patients fulfilled the criteria and were included in the analysis. The digital PET acquisition time was less than 1/3 of the analog PET acquisition time (digital PET, mean (min:s): 08:20 (range, 07:59–09:45); analog PET, 25:28 (24:39–28:44), p < 0.001). All 44 lesions detected on the analog PET with corresponding structural correlates on the CT were also found on the digital PET performed 137 (107–176) days later. Our initial findings suggest that digital 64Cu-DOTATATE PET can successfully be performed in patients with NENs using an image acquisition time of only 1/3 of what is used for an analog 64Cu-DOTATATE PET.

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Peters, Klaus-Ruediger, and Eisaku Oho. "New digital image processing technology for FSEM microscopy." Proceedings, annual meeting, Electron Microscopy Society of America 51 (August 1, 1993): 212–13. http://dx.doi.org/10.1017/s0424820100146904.

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Digital image acquisition and processing can provide many advantages over conventional analog image information handling, i.e., undisturbed access to the “raw data set”, quantitative analysis of the image information, and reduced costs and increased flexibility of image data handling. However, it may principally change microscopy by providing a new facility for instant exhaustive data presentation in acquired images. Detail imaging is one of the basic microscopic tasks but visual access to detail information is cumbersome and often left to post-session data analysis. A dedicated software/hardware technique is now available for automatic “near-real-time” enhancement of image detail information visually not accessible in the “raw data” image. Pertinent image details include spatial dimensions of only a few pixels in size (spatial details) and intensity variations of only a few intensity steps in height (intensity details). While conventional image enhancement techniques often produce serious image artifacts which exclude a closer inspection of enhanced detail information, the new pixel-accurate processing (PAP) technology allows instant image evaluation at an accuracy-level of the raw data through detail enhancement in full-frame images, digital zoom and noise smoothing.

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Piva, Alessandro. "An Overview on Image Forensics." ISRN Signal Processing 2013 (January 10, 2013): 1–22. http://dx.doi.org/10.1155/2013/496701.

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The aim of this survey is to provide a comprehensive overview of the state of the art in the area of image forensics. These techniques have been designed to identify the source of a digital image or to determine whether the content is authentic or modified, without the knowledge of any prior information about the image under analysis (and thus are defined as passive). All these tools work by detecting the presence, the absence, or the incongruence of some traces intrinsically tied to the digital image by the acquisition device and by any other operation after its creation. The paper has been organized by classifying the tools according to the position in the history of the digital image in which the relative footprint is left: acquisition-based methods, coding-based methods, and editing-based schemes.

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De Franchis, Carlo, Enric Meinhardt-Llopis, Julien Michel, Jean-Michel Morel, and Gabriele Facciolo. "Automatic digital surface model generation from Pléiades stereo images." Revue Française de Photogrammétrie et de Télédétection, no. 208 (October 24, 2014): 137–42. http://dx.doi.org/10.52638/rfpt.2014.136.

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We propose a fully automated stereo pipeline for producing digital elevation models from Pléiades satellite images. The agility of the Pléiades satellites allows them to capture multiple views of the same target in a single pass, enabling new applications that exploit these quasi-simultaneous high-resolution images. Concretely the tri-stereo acquisition modality permits to reduce the occlusions and to cross-validate the observed points. This paper gives an overview of our pipeline, named s2p, and presents some digital elevation models and 3D point clouds built from Pléiades tri-stereo datasets. The data was provided by Airbus DS and the CNES through the RTU program. The particularity of the s2p algorithm is that it permits to use conventional stereo correlation tools, by performing a very precise image rectification of each stereo pair. Although the acquisition system does not fit the pinhole camera model, which is necessary to make the rectification possible, the errors due to the pinhole assumption were shown to be negligible for small enough image sizes. Thus, the whole image can be treated by cutting it into small tiles that are processed independently.

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Zhao, Zhigang, Ru Wang, Jianheng Huang, Jinchuan Guo, and Hanben Niu. "Implementation of a Data Acquisition System for 2×2 Fiber Optic Taper Array Coupled Digital X-ray Detector." Open Electrical & Electronic Engineering Journal 8, no. 1 (December 31, 2014): 152–58. http://dx.doi.org/10.2174/1874129001408010152.

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Fiber optic taper (FOP) array coupled digital x-ray detector can be an ideal choice for large area high resolution x-ray imaging, but its data acquisition system is a challenge, for the reasons such as restrictions of hardware design due to the shape of the FOP array, long distance control requirement in x-ray environment, and arrangement of data transmission sequence among multiple CCD/CMOS image sensors. A FPGA and ARM based data acquisition system for 2×2 FOP array coupled x-ray detector was implemented in this paper. We have finished all the procedures involving the data acquisition system, including hardware and PCB design, FPGA design, ARM and PC software development, and so on. The data acquisition process operates in parallel during parameters setting, 4 CMOS image sensors (LUPA-4000) timing driving, and DDR2 SDRAM data buffering, while it works in series when sending data from each FPGA to ARM and from ARM to PC. Experimental results showed that the data acquisition system worked steadily, and whole images of a custom-built calibration plate were achieved by butting images of the four individual CMOS image sensors’ in visible light test environment. This work could be a valuable foundation for realization of all kinds of FOP array coupled digital x-ray detectors.

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Denault, Lauraine, Robin de la Parra, and Claude von Roesgen. "Managing digital images with SEM viewer™." Proceedings, annual meeting, Electron Microscopy Society of America 52 (1994): 460–61. http://dx.doi.org/10.1017/s0424820100170037.

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In 1992 Millipore's Corporate SEM Lab made the transition from conventional analog recording of images to digital acquisition and archival. Commonly requested images could be easily and reliably retrieved, without significant loss of image quality or resolution.In theory, digital images could be sent over a network to desktop PC's for review, (rather than producing hard copy of all images). Using established wide area network system, the scope of incorporating digital images significantly broadened. A significant barrier appeared in that the images were acquired using two different hardware/software packages, by two different SEMs (ISI DS130-C and ElectroScan ESEM). Although both generate TIFF images the "flavors" are somewhat different. The TIFF formats were incompatible because the tags used for magnification, micron bar, and descriptor line data were different. As a result, only the image itself generated from one program could be read by the other program, as with all available TIFF readers. Our dilemma was how to enable a single program to recognize and display all necessary information i.e., magnification, descriptor line, and the micron bar with the image.

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Alaoui, Nail, Amel Baha Houda Adamou-Mitiche, Lahcène Mitiche, and Lakhdar Bouhamla. "Image Denoising Based on Improved Hybrid Genetic Algorithm." Review of Computer Engineering Studies 8, no. 1 (March 31, 2021): 14–21. http://dx.doi.org/10.18280/rces.080103.

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Digital images can be degraded through noise during the transmission and process of acquisition, it is still a fundamental challenge is to eliminate as much noise as possible while preserving the main features of the image, for instance, edges, texture, and corners. This paper proposes for image denoising a new Improved Hybrid Genetic Algorithm (IHGA), whose combined a Genetic Algorithm (GA), with some image denoising methods. Wherein this approach uses mutation operators, crossover, and population reinitialization as default operators available in evolutionary methods with applied some state-of-the-art image denoising methods, such as local search. Tests are conducted on some digital images, commonly used as a benchmark by the scientific community, where different standard deviations are used for digital images. Experimental results indicate that the proposed method is very effective and competitive in comparison with previously published works.

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Cheng, Ping-chin. "Current Trends in Digital Imaging for Optical Microscopy." Microscopy and Microanalysis 3, S2 (August 1997): 1097–98. http://dx.doi.org/10.1017/s143192760001237x.

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Digital imaging has provided a number of possibilities in optical microscopy which can not be achieved easily by traditional methods. These include the possibility of low-light imaging, ease of image manipulation (processing and analysis) and transmission via electronic communication channels. Recently, digital imaging has become the buzz-word in photography. Therefore, it is the intent of this article to evaluate the current state of digital imaging technologies for optical microscopy, both pro and con.There are certain applications where digital imaging is the only feasible way to gather image data, examples include laser scanning confocal microscopy and low-light CCD microscopy. Based on the nature of image acquisition methods, one can classify digital imaging into two major domains: (1) sequential and (2) parallel data acquisition. The sequential data acquisition method is generally used in scanning devices such as the confocal laser scanning microscopes (CLSM). Photomultipliers and solid state devices are generally used as the photon detector(s) and the analog signals are subsequently digitized. On the other hand, the use of 2D array detectors such as CCDs falls into the parallel acquisition category. Although, the data from a CCD is read-out sequentially, all the pixels on a CCD chip acquire the image simultaneously. Depending on the dynamic range of the photon detector and needs of the application, the digitized image generally has a dynamic range of 8, 12 or 16 bits.

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Thang, Pham Cong, Tran Thi Thu Thao, Phan Tran Dang Khoa, Dinh Viet Sang, Pham Minh Tuan, and Nguyen Minh Hieu. "An adaptive algorithm for restoring image corrupted by mixed noise." Cybernetics and Physics, Volume 8, 2019, Number 2 (September 30, 2019): 73–82. http://dx.doi.org/10.35470/2226-4116-2019-8-2-73-82.

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Image denoising is one of the fundamental problems in image processing. Digital images are often contaminated by noise due to the image acquisition process under poor conditions. In this paper, we propose an effective approach to remove mixed Poisson-Gaussian noise in digital images. Particularly, we propose to use a spatially adaptive total variation regularization term in order to enhance the ability of edge preservation. We also propose an instance of the alternating direction algorithm to solve the proposed denoising model as an optimization problem. The experiments on popular natural images demonstrate that our approach achieves superior accuracy than other recent state-of-the-art techniques.

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He, F., E. Schubert, W. Gross, M. Mancini, T. Mahoney, F. Wimberley, R. Roskies, M. Levine, and M. Becich. "An integrated digital image acquisition and archiving system for diagnostics and education in pathology." Proceedings, annual meeting, Electron Microscopy Society of America 53 (August 13, 1995): 634–35. http://dx.doi.org/10.1017/s0424820100139548.

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Background Advances in digital imaging technology and instruments have profoundly enhanced the way of decision-making in diagnostic pathology. The image that was typically recorded on film and stored in different divisions of the department in the past can now be stored via a centralized image file server. Since pathology images are derived from gross surgical specimens, light, immunoflourescence, electron microscopy and clinical laboratory data in graphical forms, it is essential to have an integrated system to manage and distribute the images. The images along with attached text information should be rapidly stored in a fashion of pathologist's perspective, and be viewed on their desktop computers with an absolutely minimal impact on existing work flow. In addition, the images originated from individual patients should be easily reorganized or grouped for the purposes of medical training and on-line conferences. Having identified these basic requisitions, we have recently implemented such a system in our department.

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Wang, Wei Hua. "The Design and Implementation of a Video Image Acquisition System Based on VFW." Applied Mechanics and Materials 380-384 (August 2013): 3787–90. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.3787.

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Along with the development of technologies on computer, electronic and communication, there are more and more applications of digital image acquisition and processing technology used in computer and portable systems, such as videophone, digital cameras, digital television, video monitoring, camera phones and video conferencing etc. Digitized image makes image digital transmit with high quality, which facilitates image retrieval, analysis, processing and storage. In applications such as video conferencing, it is a crucial premise to capture videos. So, in this paper, we mainly introduce the video capture technology by exploiting the VFM video services library developed by Microsoft. Software based on VFW can directly capture digital videos or digitize the traditional analog videos and then clipping them.

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Aach, Til. "Digital image acquisition and processing in medical x-ray imaging." Journal of Electronic Imaging 8, no. 1 (January 1, 1999): 7. http://dx.doi.org/10.1117/1.482680.

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Farman, AG. "Fundamentals of image acquisition and processing in the digital era." Orthodontics & Craniofacial Research 6 (August 2003): 17–22. http://dx.doi.org/10.1034/j.1600-0544.2003.231.x.

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Staunton, R. C. "Measuring the high frequency performance of digital image acquisition systems." Electronics Letters 33, no. 17 (1997): 1448. http://dx.doi.org/10.1049/el:19970978.

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Mansfield, John F. "Digital imaging: When should one take the plunge?" Proceedings, annual meeting, Electron Microscopy Society of America 54 (August 11, 1996): 602–3. http://dx.doi.org/10.1017/s0424820100165471.

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The current imaging trend in optical microscopy, scanning electron microscopy (SEM) or transmission electron microscopy (TEM) is to record all data digitally. Most manufacturers currently market digital acquisition systems with their microscope packages. The advantages of digital acquisition include: almost instant viewing of the data as a high-quaity positive image (a major benefit when compared to TEM images recorded onto film, where one must wait until after the microscope session to develop the images); the ability to readily quantify features in the images and measure intensities; and extremely compact storage (removable 5.25” storage devices which now can hold up to several gigabytes of data).The problem for many researchers, however, is that they have perfectly serviceable microscopes that they routinely use that have no digital imaging capabilities with little hope of purchasing a new instrument.

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Rosenfeld, Michael E. "Low-cost digital-image processing and analysis system for on-line morphometric measurements of sem images." Proceedings, annual meeting, Electron Microscopy Society of America 46 (1988): 432–33. http://dx.doi.org/10.1017/s0424820100104224.

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The widespread use of digital image processing systems for high resolution morphometric applications has been limited by the cost and difficulty of interfacing systems to electron microscopes. The recent development of image acquisition boards and software for PC-AT based systems and the availability of scanning electron microscopes that are capable of scanning at true TV rates (RS-170 compatible signals), have alleviated these problems. We have assembled a system consisting of a Compaq Portable 286 (Compaq Computer Corp. Houston, TX) equipped with an FG-100 image acquisition board (Imaging Technology Inc. Woburn, MA), interfaced with a Philips 515 SEM containing a motorized stage and Edax stage controller (Philips Electronics Inc. Mahwah, NJ).Utilizing commercially available software, this system has extensive image processing and morphometric analysis capabilities. For example, because TV scan rates generate images with low signal to noise ratios, improvement of the image quality is possible via real time image averaging and background subtraction using the the FG-100 board Feedback/Input lookup table.

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Ellisman, Mark H., Gabriel E. Soto, and Maryann E. Martone. "The merger of microscopy and advanced computing: A new frontier for the 21st century." Proceedings, annual meeting, Electron Microscopy Society of America 52 (1994): 10–11. http://dx.doi.org/10.1017/s0424820100167780.

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Establishing and maintaining state-of-the-art national resources such as HVEM, IVEM and supercomputing centers involves considerable initial cost and continued support of staff with special skills and knowledge. The increased availability of high performance computing and communications offers scientists the potential for effective remote interactive use of such centralized, specialized, and expensive facilities. Anticipating improvements in computing and communications infrastructure, a collaborative computational environment, or “Collaboratory for Microscopic Digital Anatomy” (CMDA), is being developed that will provide a researcher at a remote site distributed interaction with unique instrumentation for the acquisition and manipulation of biological images. The prototype outlined in figure 1 was developed at the San Diego Microscopy and Imaging Resource. The CDMA integrates remote interactive acquisition and analysis of 2- and 3-dimensional electron microscopic data from state-of-the-art digital image acquisition systems such as a computer-controled IVEM. A software system has been developed that provides interactive control of image acquisition from the IVEM from a remote laboratory (and eventually any laboratory on the Internet). Sophisticated software tools for image analysis, visualization, and data management of these digital images are also under development. The system design will provide transparent distribution of tasks that require extensive computation to high performance computers accessible on the network. These tasks include the derivation of 3-dimensional structure using electron microscope tomography, automatic feature extraction for serial section reconstructions as well as manipulation and exploration of 3-dimensional biological datasets.

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Cogswell, Carol J., Matthew R. Arnison, Edward R. Dowski, Sara C. Tuckert, and W. Thomas Catheyt. "A New Generation, Fast 3D Fluorescence Microscope using Wavefront Coding Optics." Microscopy and Microanalysis 5, S2 (August 1999): 466–67. http://dx.doi.org/10.1017/s1431927600015658.

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We are developing a “new-generation” fluorescence microscope that will allow very fast (milliseconds) acquisition of fully three-dimensional (3D) images for a wide spectrum of biological applications. This new system will overcome the slow image acquisition constraint of existing confocal and widefield deconvolution microscopes (the two most commonly used instruments for 3D fluorescence imaging) that has prevented them from being used for investigations of live-cell dynamics in three dimensions. Our new microscope incorporates the innovative techniques of optical wavefront coding, pioneered by W. T. Cathey and E. R. Dowski, University of Colorado. With this new system, as compared to the normal sequential plane-by-plane image acquisition requirement of confocal and widefield microscopes, we need acquire only a single CCD camera image to obtain an equivalent extended-depth-of-focus (EDF) rendering of a thick specimen, and a minimum of only two images for a 3D stereo view that has full depth.Our microscope system uses a special-purpose optical element to uniformly “code” the information from all planes throughout the specimen volume onto a single CCD camera image. Specimen-independent digital processing is then used to “decode” this raw image. In effect, the coded raw image is blurred by a special type of aberration which produces an image that is nearly independent of focus. The system then uses a fast, non-iterative, digital filtering algorithm to remove this special blur so that a large volume of the specimen image appears sharply focused all at once.

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Torres, Edgar, Patricia Luna, and Caori Takeuchi. "Determination of the Delamination Percentage of Compacted Bamboo Guadua Using Extended Field Digital Images Processing." Key Engineering Materials 600 (March 2014): 15–20. http://dx.doi.org/10.4028/www.scientific.net/kem.600.15.

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The percentages of delamination of Compacted Bamboo Guadua were calculated using digital images processing. Three processes were done in the development of this project: tests of delamination, digital image pre-processing and digital image processing of the images acquired. The test of delamination followed the ASTM 5824. The digital image pre-processing was supported on the acquisition of sequences of images, doing a sweeping of the samples, and finally the digital processing worked in the generation of panoramas with sequences of images acquired from the sample. Additionally, the total area from the sample was measured digitally, the segmentation and the measurement of delamination area were done, finding the ratio between the delamination area and the total area of the sample, and obtaining the value of percentage of delamination per section. Digitally, the obtained values for samples made with fibers obtained from Stick (Varillón), Top (Sobrebasa), Middle (Basa) parts and mixture of them were 16.97%, 9.96%, 5.96% and 8.64% respectively.

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Journal articles on the topic 'Digital image acquisition'

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