Relevant bibliographies by topics / Marker detection

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Marker detection'

Author: Grafiati
Published: 4 June 2021
Last updated: 4 February 2022

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Journal articles on the topic "Marker detection"

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Ferreira, Ines, Sarah Lepuschitz, Stephan Beisken, et al. "Culture-Free Detection of Antibiotic Resistance Markers from Native Patient Samples by Hybridization Capture Sequencing." Microorganisms 9, no. 8 (2021): 1672. http://dx.doi.org/10.3390/microorganisms9081672.

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The increasing incidence of antimicrobial resistance (AMR) is a major global challenge. Routine techniques for molecular AMR marker detection are largely based on low-plex PCR and detect dozens to hundreds of AMR markers. To allow for comprehensive and sensitive profiling of AMR markers, we developed a capture-based next generation sequencing (NGS) workflow featuring a novel AMR marker panel based on the curated AMR database ARESdb. Our primary objective was to compare the sensitivity of target enrichment-based AMR marker detection to metagenomics sequencing. Therefore, we determined the limit of detection (LOD) in synovial fluid and urine samples across four key pathogens. We further demonstrated proof-of-concept for AMR marker profiling from septic samples using a selection of urine samples with confirmed monoinfection. The results showed that the capture-based workflow is more sensitive and requires lower sequencing depth compared with metagenomics sequencing, allowing for comprehensive AMR marker detection with an LOD of 1000 CFU/mL. Combining the ARESdb AMR panel with 16S rRNA gene sequencing allowed for the culture-free detection of bacterial taxa and AMR markers directly from septic patient samples at an average sensitivity of 99%. Summarizing, the newly developed ARESdb AMR panel may serve as a valuable tool for comprehensive and sensitive AMR marker detection.
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Brbaklic, L., D. Trkulja, A. Kondic-Spika, S. Treskic, and B. Kobiljski. "Detection of QTLs for important agronomical traits in hexaploid wheat using association analysis." Czech Journal of Genetics and Plant Breeding 49, No. 1 (2013): 1–8. http://dx.doi.org/10.17221/64/2012-cjgpb.

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One of the main wheat breeder’s goals is determining specific genomic regions which control important agronomical traits. Association analysis is a new strategy with high resolution in plant molecular breeding that could be used to improve the efficiency of marker assisted selection (MAS) for finding important QTLs (quantitative trait loci) or genes. A set of 96 diverse wheat genotypes was phenotypically measured during three growing seasons (2006/07, 2007/08, 2008/09). Microsatellite markers located near important QTLs were carefully chosen in accordance with existing literature data to validate marker trait associations (MTA). Genomic DNA was extracted using the CTAB method and PCR products were separated by capillary electrophoresis. The population structure was assigned based on molecular data in Structure v. 2.0 software, while association analysis was done by the Tassel program using the Q matrix. Nine significant associations were stable in all years investigated and eight MTA were detected to be significant in two growing seasons. Microsatellite markers which showed significant associations and stability in different seasons can be useful and suitable for marker assisted selection (MAS) in Serbian wheat breeding programs.  
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Jeon, Kwang Myung, Chan Jun Chun, Hong Kook Kim, and Myung J. Lee. "User-Aware Audio Marker Using Low Frequency Ultrasonic Object Detection and Communication for Augmented Reality." Applied Sciences 9, no. 10 (2019): 2004. http://dx.doi.org/10.3390/app9102004.

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In augmented reality (AR), audio markers can be alternatives to image markers for rendering virtual objects when an AR device camera fails to identify the image marker due to lighting conditions and/or the distance between the marker and device. However, conventional audio markers simply broadcast a rendering queue to anonymous devices, making it difficult to provide specific virtual objects of interest to the user. To overcome this limitation without relying on camera-based sensing, we propose a user-aware audio marker system using low frequency ultrasonic signal processing. The proposed system detects users who stay within the marker using ultrasonic-based object detection, and then it uses ultrasonic communication based on windowed differential phase shift keying modulation in order to send a rendering queue only to those users near the marker. Since the proposed system uses commercial microphones and speakers, conventional telecommunication systems can be employed to deliver the audio markers. The performance of the proposed audio marker system is evaluated in terms of object detection accuracy and communication robustness. First, the object detection accuracy of the proposed system is compared with that of a pyroelectric infrared (PIR) sensor-based system in indoor environments, and it is shown that the proposed system achieves a lower equal error rate than the PIR sensor-based system. Next, the successful transmission rate of the proposed system is measured for various distances and azimuths under noisy conditions, and it is also shown that the proposed audio marker system can successfully operate up to approximately 4 m without any transmission errors, even with 70 dBSPL ambient noise.
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Cherkasova, Olga, Yan Peng, Maria Konnikova, et al. "Diagnosis of Glioma Molecular Markers by Terahertz Technologies." Photonics 8, no. 1 (2021): 22. http://dx.doi.org/10.3390/photonics8010022.

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This review considers glioma molecular markers in brain tissues and body fluids, shows the pathways of their formation, and describes traditional methods of analysis. The most important optical properties of glioma markers in the terahertz (THz) frequency range are also presented. New metamaterial-based technologies for molecular marker detection at THz frequencies are discussed. A variety of machine learning methods, which allow the marker detection sensitivity and differentiation of healthy and tumor tissues to be improved with the aid of THz tools, are considered. The actual results on the application of THz techniques in the intraoperative diagnosis of brain gliomas are shown. THz technologies’ potential in molecular marker detection and defining the boundaries of the glioma’s tissue is discussed.
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Alonzo, Todd A., and Kimberly D. Siegmund. "Statistical Methods for Evaluating DNA Methylation as a Marker for Early Detection or Prognosis." Disease Markers 23, no. 1-2 (2007): 113–20. http://dx.doi.org/10.1155/2007/308573.

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We summarize standard and novel statistical methods for evaluating the classification accuracy of DNA methylation markers. The choice of method will depend on the type of marker studied (qualitative/quantitative), the number of markers, and the type of outcome (time-invariant/time-varying). A minimum of two error rates are needed for assessing marker accuracy: the true-positive fraction and the false-positive fraction. Measures of association that are computed from the combination of these error rates, such as the odds ratio or relative risk, are not informative about classification accuracy. We provide an example of a DNA methylation marker that is strongly associated with time to death (logrankp= 0.0003) that is not a good classifier as evaluated by the true-positive and false-positive fractions. Finally, we would like to emphasize the importance of study design. Markers can behave differently in different groups of individuals. It is important to know what factors may affect the accuracy of a marker and in which subpopulations the marker may be more accurate. Such an understanding is extremely important when comparing marker accuracy in two groups of subjects.
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Li, Xingxing. "Bayer Marker Detection based on Yolov3." IOP Conference Series: Earth and Environmental Science 440 (March 19, 2020): 022051. http://dx.doi.org/10.1088/1755-1315/440/2/022051.

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Mealy, K., J. Feely, I. Reid, J. McSweeney, T. Walsh, and T. P. J. Hennessy. "Tumour marker detection in oesophageal carcinoma." European Journal of Surgical Oncology (EJSO) 22, no. 5 (1996): 505–7. http://dx.doi.org/10.1016/s0748-7983(96)92998-4.

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Ab Ghani, Hadhrami, Rosli Besar, Zamani Md Sani, et al. "Advances in lane marking detection algorithms for all-weather conditions." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 4 (2021): 3365. http://dx.doi.org/10.11591/ijece.v11i4.pp3365-3373.

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Driving vehicles in all-weather conditions is challenging as the lane markers tend to be unclear to the drivers for detecting the lanes. Moreover, the vehicles will move slower hence increasing the road traffic congestion which causes difficulties in detecting the lane markers especially for advanced driving assistance systems (ADAS). Therefore, this paper conducts a thorough review on vision-based lane marking detection algorithms developed for all-weather conditions. The review methodology consists of two major areas, which are a review on the general system models employed in the lane marking detection algorithms and a review on the types of weather conditions considered for the algorithms. Throughout the review process, it is observed that the lane marking detection algorithms in literature have mostly considered weather conditions such as fog, rain, haze and snow. A new contour-angle method has also been proposed for lane marker detection. Most of the research work focus on lane detection, but the classification of the types of lane markers remains a significant research gap that is worth to be addressed for ADAS and intelligent transport systems.
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Gomes, Luiz Humberto, Keila Maria Roncato Duarte, Felipe Gabriel Andrino, Ana Maria Brancalion Giacomelli, and Flavio Cesar Almeida Tavares. "A vector carrying the GFP gene (Green fluorescent protein) as a yeast marker for fermentation processes." Scientia Agricola 57, no. 4 (2000): 713–16. http://dx.doi.org/10.1590/s0103-90162000000400018.

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Contaminant yeasts spoil pure culture fermentations and cause great losses in quality and product yields. They can be detected by a variety of methods although none being so efficient for early detection of contaminant yeast cells that appear at low frequency. Pure cultures bearing genetic markers can ease the direct identification of cells and colonies among contaminants. Fast and easy detection are desired and morphological markers would even help the direct visualization of marked pure cultures among contaminants. The GFP gene for green fluorescent protein of Aquorea victoria, proved to be a very efficient marker to visualize transformed cells in mixed populations and tissues. To test this marker in the study of contaminated yeast fermentations, the GFP gene was used to construct a vector under the control of the ADH2 promoter (pYGFP3). Since ADH2 is repressed by glucose the expression of the protein would not interfere in the course of fermentation. The transformed yeasts with the vector pYGFP3 showed high stability and high bioluminescence to permit identification of marked cells among a mixed population of cells. The vector opens the possibility to conduct further studies aiming to develop an efficient method for early detection of spoilage yeasts in industrial fermentative processes.
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Kim, Dong Su, Won Sik Ham, Won Sik Jang, et al. "Scale-Up Evaluation of a Composite Tumor Marker Assay for the Early Detection of Renal Cell Carcinoma." Diagnostics 10, no. 10 (2020): 750. http://dx.doi.org/10.3390/diagnostics10100750.

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The early detection of renal cell carcinoma (RCC) using tumor markers remains an attractive prospect for the potential to downstage the disease. To validate the scale-up clinical performance of potential tumor markers for RCC (as a single marker and as a composite tumor marker composed of nicotinamide N-methyltransferase (NNMT), L-Plastin (LCP1), and non-metastatic cells 1 protein (NM23A)), the scale-up assay was performed. Patients with RCC from multiple domestic institutes were included in the clinical evaluation for reassessment and improvement of the established triple markers of our product. For the diagnostic performance of the composite markers, the best-split cutoff points of each marker (147 pg/mL for NNMT, 1780 pg/mL for LCP1, and 520 pg/mL for NM23A) were installed. Serum levels of NNMT, LCP1, and NM23A were greatly increased in subjects with RCC (p < 0.0001). In 1042 blind sample tests with control individuals (n = 500) and patients with RCC (n = 542), the diagnostic sensitivity and specificity of the composite three-marker assay were 0.871 and 0.894, respectively, and the resulting AUC (Area under Curve) of ROC (Receiver Operating Characteristic) was 0.917. As a single marker, the diagnostic accuracies of NNMT, LCP1, and NM23A, as estimated by ROC, were 0.833, 0.844, and 0.601, respectively. The composite three-marker assay with NNMT, LCP1, and NM23A is a more improved novel serum marker assay for the early detection of RCC in cases of renal mass or unknown condition. The NNMT, LCP1, and NM23A triple marker assay could be a powerful diagnostic tumor marker assay to screen the early stage of RCC.
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Dissertations / Theses on the topic "Marker detection"

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Fakanya, Wellington. "Development of multi marker electrochemical immunosensors for cardiovascular disease detection." Thesis, Cranfield University, 2012. http://dspace.lib.cranfield.ac.uk/handle/1826/8361.

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Cardiovascular disease (CVD) is the world’s biggest killer, globally accounting for over 17,5 million deaths annually. Almost half of these deaths are caused by acute myocardial infarction. It is an umbrella term that encompasses several medical conditions associated with the heart and the circulatory system. It is important to detect patients with high risk of acute myocardial infarction quickly. This can help in cutting costs by screening the hospital admissions process and focusing resources to those that are specifically at risk. Biomarkers and biosensors are playing a crucial role in the diagnostic revolution of cardiovascular disease. Although significant studies have been done on electrochemically transduced biosensors for detecting CVDs, of late they have had limited commercial success. However, advances in interrelated research areas have made it possible for faster, accurate, portable and environmentally friendly electrochemical diagnostic devices to be made. This project aims to: • Develop Immunoassays for two cardiac biomarkers which are CRP and cardiac troponin T • Integrate the immunoassays on to screen-printed gold electrodes (SPGE) to make electrochemical immunosensors. • Optimise the immunosensors to produce rapid, sensitive and specific devices • Evaluate the performance of the optimised immunosensors compared to other alternative detection devices. Some aspects of the fabrication process of screen-printed gold electrodes were investigated particularly ink compositions and curing techniques. It was found that the quality of the carbon ink affects the performance of the electrodes and that curing electrodes with conventional oven drying gave better performance to high throughput infra-red drying. Initially a plate based ELISA assay for CRP was developed before the assay was transferred onto screen-printed gold electrodes. Antibodies were immobilised using passive adsorption and after optimisation of the screen-printed immunosensor, it managed to detect CRP with a limit of detection of 0.52 µg mL-1 with a linear range up to 20 µg mL-1 in spiked serum. This was within diagnostically relevant range. Comparison of the assay with a commercial alternative gave good correlation (R2 value of 0.99). A second immunosensor was developed for cardiac Troponin T (cTnT) using similar screen-printed gold electrodes. In this immunosensor, the use of self-assembled monolayers (SAMs) was employed to assist in covalent immobilisation, orientation and preservation of the capture antibody. A method for depositing the 11-mercaptoundecanoic acid (11-MUA) SAMs on the gold working electrode without compromising functionality of the other electrodes was developed. It was found that the use of self-assembled monolayers increased the sensitivity of the assay enabling it to decrease the limit of detection on the immunosensor from 2.12 ng mL-1 (passive adsorption) to 1.14 ng mL-1 (SAM assisted covalent immobilisation). It was also found that the use of SAMs enhanced the shelf life of the immobilised antibody compared to those passively adsorbed. The use of gold nanoparticles to amplify the immunosensor signal was explored .This further improved the sensitivity of the cTnT assay. The final immunosensor setup comprising the use of 11-MUA self-assembled monolayers and 60 nm conjugated gold nanoparticles enabled the detection of cTnT with a limit of detection of 0.51ng mL-1 in buffer and 0.58 ng mL-1 in 75% serum samples. This assay was benchmarked against a hospital analyser and a quartz crystal microbalance biosensor (QCM-1). It gave comparable results with correlation values of 0.99 and 0.95. The two developed immunosensors for CRP and cTnT can easily be integrated onto an electrochemical analyser to make a multi-marker electrochemical immunosensor for detecting cardiovascular diseases.
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Morrison, Richard B. "Fiducial marker detection and pose estimation from LIDAR range data." Thesis, Monterey, California : Naval Postgraduate School, 2010. http://edocs.nps.edu/npspubs/scholarly/theses/2010/Mar/10Mar%5FMorrison.pdf.

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Thesis (M.S. in Modeling, Virtual Environments, and Simulation (Moves))--Naval Postgraduate School, March 2010.<br>Thesis Advisor(s): Kolsch, Mathias ; Chung, Timothy H. "March 2010." Author(s) subject terms: LIDAR, point cloud, feature extraction, fiducial marker, pose estimation. Includes bibliographical references (p. 95-99). Also available in print.
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Desmedt, Christine. "Multi-marker detection approach for improving breast cancer treatment tailoring." Doctoral thesis, Universite Libre de Bruxelles, 2008. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210415.

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the majority of patients with early breast cancer receive some form of systemic adjuvant therapy (chemo-, endocrine, and/or targeted therapy). Despite the increase in adjuvant therapy prescription, little progress has been made with respect to assisting oncologists to determine which breast cancer patients, particularly those deemed at “lower risk” of relapse, require chemotherapy or other systemic therapy and which women can safely be treated with loco-regional treatment alone. For these reasons, the identification of prognostic and predictive markers that will assist the clinician in selecting the most suitable form of medical therapy has become very high priority as well as a real challenge in translational research. <p>\<br>Doctorat en Sciences biomédicales et pharmaceutiques<br>info:eu-repo/semantics/nonPublished
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Wilson, P. K. "Development of life marker chip technology for in-situ life detection on Mars." Thesis, Cranfield University, 2007. http://dspace.lib.cranfield.ac.uk/handle/1826/4617.

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The European Space Agency (ESA) is currently developing its flagship Life Detection Mission, ExoMars, which is scheduled to fly to Mars in 2013. The primary goal of this mission is to compliment the Phoenix NASA mission in confirming the presence of organic material on Mars, and, for the first time, analyse this organic material to determine the presence of organic species indicative of presence of past or present Life. One of the proposed Life detection technologies is the Life Marker Chip (LMC), which uses immunoassays with fluorescent readout to detect small organics and proteins in a microarray format within microfluidic channel structures. This PhD thesis encompasses the work done by the author on the development of the SMILE LMC during the period prior to, and during part of the first phase of, the Life Marker Chip Technology Readiness Level Upgrade Study funded by ESA from 2005 and 2007. Cont/d.
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Azhar, Faisal. "Marker-less human body part detection, labelling and tracking for human activity recognition." Thesis, University of Warwick, 2015. http://wrap.warwick.ac.uk/69575/.

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This thesis focuses on the development of a real-time and cost effective marker-less computer vision method for significant body point or part detection (i.e., the head, arm, shoulder, knee, and feet), labelling and tracking, and its application to activity recognition. This work comprises of three parts: significantbody point detection and labelling, significant body point tracking, and activity recognition. Implicit body models are proposed based on human anthropometry, kinesiology, and human vision inspired criteria to detect and label significant body points. The key idea of the proposed method is to fit the knowledge from the implicit body models rather than fitting the predefined models in order to detect and label significant body points. The advantages of this method are that it does not require manual annotation, an explicit fitting procedure, and a training (learning) phase, and it is applicable to humans with different anthropometric proportions. The experimental results show that the proposed method robustly detects and labels significant body points in various activities of two different (low and high) resolution data sets. Furthermore, a Particle Filter with memory and feedback is proposed that combines temporal information of the previous observation and estimation with feedback to track significant body points in occlusion. In addition, in order to overcome the problem presented by the most occluded body part, i.e., the arm, a Motion Flow method is proposed. This method considers the human arm as a pendulum attached to the shoulder joint and defines conjectures to track the arm since it is the most occluded body part. The former method is invoked as default and the latter is used as per a user's choice. The experimental results show that the two proposed methods, i.e., Particle Filter and Motion Flow methods, robustly track significant body points in various activities of the above-mentioned two data sets and also enhance the performance of significant body point detection. A hierarchical relaxed partitioning system is then proposed that employs features extracted from the significant body points for activity recognition when multiple overlaps exist in the feature space. The working principle of the proposed method is based on the relaxed hierarchy (postpone uncertain decisions) and hierarchical strategy (group similar or confusing classes) while partitioning each class at different levels of the hierarchy. The advantages of the proposed method lie in its real-time speed, ease of implementation and extension, and non-intensive training. The experimental results show that it acquires valuable features and outperforms relevant state-of-the-art methods while comparable to other methods, i.e., the holistic and local feature approaches. In this context, the contribution of this thesis is three-fold: Pioneering a method for automated human body part detection and labelling. Developing methods for tracking human body parts in occlusion. Designing a method for robust and efficient human action recognition.
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Schery, Miroslav. "Detekce deformovatelného pole markerů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-236232.

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This Thesis is focused on study of augmented reality and creation of algorithm for a uniform marker field detector. The marker field is modified to be tolerant to a high degree of deformation. Existing marker types are studied. Important part of the paper is a description of uniform marker field technique, from which a modified assignment is derived. It also describes CUDA architecture on which the first part of the detection algorithm is implemented. Deformation tolerance, detection rate and speed tests are performed on the resulting detector algorithm.
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Akin, Cigdem. "Detection Of Species Boundaries In The Rana Ridibunda Complex Of Southwestern Turkey Using Mitochondrial Nd3 Marker." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/3/12608156/index.pdf.

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Water frogs are one of the most interesting vertebrate groups, showing great diversity and complexity in their reproductive modes, ecology and evolutionary relationships, and with many cryptic species due to high morphological similarity. For many decades, a single species, Rana ridibunda, has been suggested to exist in Turkey. However, the application of new morphometric, molecular and bioacoustic techniques has recently revealed the occurrence of several distinct water frog taxa in Turkey. In this study, 340 bp long mtDNA ND3 region in 195 specimens was sequenced and subjected to phylogenetic analyses to detect geographical structure and species boundaries. Neighbor joining tree, minimum spanning network, SAMOVA and AMOVA were used to understand relationship within and among clades. Population demography was studied through mismatch distribution and neutrality tests. Results indicated that populations in southwestern Turkey show high diversity and strong geographic structuring. In Turkey there are four major maternal lineages, each probably representing a species: Thrace lineage represents Rana ridibunda Pallas 1771 in European Turkey<br>Ceyhan lineage indicates an unnamed taxon in Cilicia plain<br>South-central lineage occurs at the Lake District, Antalya, Konya and Karaman provinces and represents Rana caralitana Arikan, 1988<br>Anatoliaca lineage (occuring in Asiatic Turkey except for central southern Turkey, Rhodes &amp<br>Karpathos, northeastern Syria, and probably also Iraq and Transcaucasia) is designated either as Rana cerigensis Beerli, Hotz, Tunner, Heppich, and Uzzell 1994 or as a new subspecies of R. caralitana, based on the degree of reproductive isolation present between the last two lineages.
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Kříž, Radim. "Uniform Marker Field na válci." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-236201.

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This work presents a new extension for Uniform Marker Field, which is able to detect UMF on the cylinder. First part of the text deals with Augmented reality and focuses on systems using markers. It discusses the actual state-of-the-art systems and its possibilities. After that it focuses more deeply on the marker system Uniform marker field and its grayscale variants. Next part of the work describes properties of the cylinder projected in real space. Important properties for detecting are discussed in detail. Then the proposal and description of detection algorithm is presented. Implementation of algorithm is tested and evaluated on the very end of this thesis.
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Zhang, Han. "Design of a high gain filter system for Marker Locator." Thesis, Mittuniversitetet, Avdelningen för elektronikkonstruktion, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-25021.

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This paper introduces a high-gain, low-noise band-pass filter system for detection/amplification of small signals. In addition, related theory and methodology are described for a specific design implementation. Simulation and experimental results are presented and discussed. The purpose of the implemented design was to construct a band-pass filter system with 102 dB gain and with an output noise level of less than 0.8V. The design of the high-gain band-pass filter system was achieved mainly with the help of Filter Pro, LTSpice IV, and Multisim 12. The thesis provides important support for the project Marker Locator and constitutes a valuable reference for future active filter system design and small signal detection/amplification.<br>Marker Locator
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Lani, James Anthony. "Improving a Marker-Based System to Rate Assimilation of Problematic Experiences." Miami University / OhioLINK, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=miami1055936557.

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Books on the topic "Marker detection"

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Thorne, Amanda L. Increasing the detection of metastases in patients with breast cancer using mammaglobin as a marker. University of Portsmouth, 2004.

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Kim, Ho-jung. array-CGH rŭl iyong han piso sepʻo pʻyeam ŭi chogi chaebal pʻyojija mit chindan mohyŏng kaebal =: Development of early-recurrence detection marker and diagnostic model using array-CGH in NSCLC. Pogŏn Pokchibu, 2007.

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Gray markets: Prevention, detection, and litigation. Oxford University Press, 2009.

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Insight, LLC Medtech. U.S. markets for breast disease detection and diagnostic technologies. Medtech Insight, 2006.

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1959-, Duke Lynn N., ed. Stock detective investor: Finding market gems online. J. Wiley & Sons, 2001.

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ill, Lee Jacqui, ed. Murilla Gorilla: Jungle detective. Simply Read Books, 2013.

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Insight, LLC Medtech. U.S. markets for breast disease detection and diagnostic technologies, 2001-2011. Medtech Insight, 2002.

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Baffes, John. Detecting price links in the world cotton market. World Bank, Development Research Group, 1998.

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Bryant, Richard W. Advanced optical detectors and detector materials: Applications, markets, and technology. Business Communications Co., 1987.

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Robinson, Paula Jayne. Flourescent probes for the detection of genetically-marked bacteriea in a biofilm. University of Birmingham, 1995.

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Book chapters on the topic "Marker detection"

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Vaupel, Matthias, Andreas Eing, Karl-Otto Greulich, et al. "Marker-free Detection on Microarrays." In Biological and Medical Physics, Biomedical Engineering. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/3-540-26578-3_9.

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Halmaoui, Houssam, and Abdelkrim Haqiq. "Matchmoving Previsualization Based on Artificial Marker Detection." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58669-0_7.

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Saunders, V. A., E. M. H. Wellington, and A. Wipat. "Detection of Streptomyces Marker Plasmids in Soil." In The Release of Genetically Modified Microorganisms—REGEM 2. Springer US, 1992. http://dx.doi.org/10.1007/978-1-4613-0493-7_30.

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Abelev, Garri I., and Eleonora R. Karamova. "Tumor-Marker Detection by Isotachophoresis in Porous Membranes." In Serological Cancer Markers. Humana Press, 1992. http://dx.doi.org/10.1007/978-1-4612-0401-5_22.

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Košťák, Milan, Bruno Ježek, and Antonín Slabý. "Adaptive Detection of Single-Color Marker with WebGL." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58465-8_29.

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Patil, Mitali, Madhumati Ramanathan, Vesselin Shanov, and Prashant N. Kumta. "Carbon Nanotube-Based Impedimetric Biosensors for Bone Marker Detection." In Ceramic Transactions Series. John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119190042.ch18.

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Van de Plas, Peter F. E. M., and Jan L. M. Leunissen. "Colloidal Gold as a Marker in Molecular Biology: The Use of Ultra-Small Gold Probes." In Nonradioactive Labeling and Detection of Biomolecules. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-662-00144-8_7.

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Košťák, Milan, Bruno Ježek, and Antonín Slabý. "Color Marker Detection with WebGL for Mobile Augmented Reality Systems." In Mobile Web and Intelligent Information Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27192-3_6.

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Noujaim, A. A., T. R. Sykes, A. J. McEwan, et al. "A New Marker for the Detection of Adenocarcinomas by Radioimmunoscintigraphy." In Clinical Use of Antibodies. Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3516-0_13.

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Boonrod, Thummarat, Phatthanaphong Chomphuwiset, and Chatklaw Jareanpon. "The Marker Detection from Product Logo for Augmented Reality Technology." In Lecture Notes in Computer Science. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49046-5_36.

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Conference papers on the topic "Marker detection"

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Dos Anjos, Antonio, and Hamid Reza Shahbazkia. "Automatic marker detection for blob images." In 2009 Workshop on Applications of Computer Vision (WACV 2009). IEEE, 2009. http://dx.doi.org/10.1109/wacv.2009.5403115.

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Meng, Cai, Hongsheng He, and Shuzhi Sam Ge. "Composite X marker detection and recognition." In 2011 IEEE 5th International Conference on Robotics, Automation and Mechatronics (RAM). IEEE, 2011. http://dx.doi.org/10.1109/ramech.2011.6070448.

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Ma, Jin-tao, Ya Zhou, Qun Hao, and Yang Zhang. "Marker cube and probe sphere based illuminant detection algorithm." In International Symposium on Photoelectronic Detection and Imaging: Technology and Applications 2007, edited by Liwei Zhou. SPIE, 2007. http://dx.doi.org/10.1117/12.791533.

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Kammel, Soren, and Benjamin Pitzer. "Lidar-based lane marker detection and mapping." In 2008 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2008. http://dx.doi.org/10.1109/ivs.2008.4621318.

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Novovic, Lena D., Vladimir S. Ostojic, Dorde S. Starcevic, and Vladimir S. Petrovic. "Automatic Calibration Marker Detection for Radiography Images." In 2018 26th Telecommunications Forum (TELFOR). IEEE, 2018. http://dx.doi.org/10.1109/telfor.2018.8611868.

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Fang, Fei, Yaping Liu, Jian Yao, Yinxuan Li, and Renping Xie. "Automatic marker detection from X-ray images." In 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE, 2013. http://dx.doi.org/10.1109/robio.2013.6739710.

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Kim, Sang-Chul. "Software monitoring system for register marker detection." In 2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN). IEEE, 2016. http://dx.doi.org/10.1109/icufn.2016.7537056.

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Okano, Yutaro, and Yoshihiro Ito. "LED marker position detection using Walsh Functions." In 2010 International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS 2010). IEEE, 2010. http://dx.doi.org/10.1109/ispacs.2010.5704652.

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Kim, Chanyong, Hyojin Kim, Huiseung Son, et al. "Marker Based Pedestrian Detection Using Augmented Reality." In ICAIP 2019: 2019 3rd International Conference on Advances in Image Processing. ACM, 2019. http://dx.doi.org/10.1145/3373419.3373456.

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Feng, Kai, Weixing Li, Shengyang Ge, and Feng Pan. "Packages delivery based on marker detection for UAVs." In 2020 Chinese Control And Decision Conference (CCDC). IEEE, 2020. http://dx.doi.org/10.1109/ccdc49329.2020.9164677.

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Reports on the topic "Marker detection"

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Author, Not Given. Protocol Development & Detection of Marker DNA Extracted from Thread, Extracted from Thread II, Extracted from Holograms, and Extracted from Torque Seal, and DNA Template & Thread Analysis Report. Office of Scientific and Technical Information (OSTI), 2008. http://dx.doi.org/10.2172/942158.

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Birch, Gabriel Carisle, John Clark Griffin, and Matthew Kelly Erdman. UAS Detection Classification and Neutralization: Market Survey 2015. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1222445.

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Butzbaugh, Joshua, Abraham SD Tidwell, and Chrissi Antonopoulos. Automatic Fault Detection & Diagnostics: Residential Market Analysis. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1670423.

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Anandkumar, Animashree, Lang Tong, and Ananthram Swami. Detection of Gauss-Markov Random Fields with Nearest-Neighbor Dependency. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada536158.

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Zielinski, William J., and Thomas E. Kucera. American marten, fisher, lynx, and wolverine: survey methods for their detection. U.S. Department of Agriculture, Forest Service, Pacific Southwest Research Station, 1995. http://dx.doi.org/10.2737/psw-gtr-157.

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Terlip, Danny, Chris Ainscough, William Buttner, and Scott McWhorter. H2FIRST Hydrogen Contaminant Detector Task: Requirements Document and Market Survey. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1215206.

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Vogel, Kathryn Baragwanath, Ran Goldblatt, Gordon Hanson, and Amit Khandelwal. Detecting Urban Markets with Satellite Imagery: An Application to India. National Bureau of Economic Research, 2018. http://dx.doi.org/10.3386/w24796.

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Harker, Y. D., R. S. Lawrence, W. Y. Yoon, and J. L. Lones. Experimental applications for the MARK-1 and MARK-1A pulsed ionizing radiation detection systems. Volume 3. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10186018.

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Skormin, Victor A. High Order Non-Stationary Markov Models and Anomaly Propagation Analysis in Intrusion Detection System (IDS). Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada464796.

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Lawrence, R. S., Y. D. Harker, J. L. Jones, and J. M. Hoggan. Technical specifications manual for the MARK-1 pulsed ionizing radiation detection system. Volume 1. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10161112.

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