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1

Mullani, N. A., and R. G. O'Neil. "Optical Imaging: Skin Cancer Imaging." Journal of Nuclear Medicine 49, no. 6 (2008): 1031. http://dx.doi.org/10.2967/jnumed.108.051185.

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2

Taruttis, Adrian, and Vasilis Ntziachristos. "Translational Optical Imaging." American Journal of Roentgenology 199, no. 2 (2012): 263–71. http://dx.doi.org/10.2214/ajr.11.8431.

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3

Lawler, Cindy, William A. Suk, Bruce R. Pitt, Claudette M. St Croix, and Simon C. Watkins. "Multimodal optical imaging." American Journal of Physiology-Lung Cellular and Molecular Physiology 285, no. 2 (2003): L269—L280. http://dx.doi.org/10.1152/ajplung.00424.2002.

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The recent resurgence of interest in the use of intravital microscopy in lung research is a manifestation of extraordinary progress in visual imaging and optical microscopy. This review evaluates the tools and instrumentation available for a number of imaging modalities, with particular attention to recent technological advances, and addresses recent progress in use of optical imaging techniques in basic pulmonary research. 1 Limitations of existing methods and anticipated future developments are also identified. Although there have also been major advances made in the use of magnetic resonanc
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4

ITO, Shinzaburo. "Optical Nano-Imaging." Kobunshi 55, no. 4 (2006): 280–84. http://dx.doi.org/10.1295/kobunshi.55.280.

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5

Gibson, Adam, and Hamid Dehghani. "Diffuse optical imaging." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 367, no. 1900 (2009): 3055–72. http://dx.doi.org/10.1098/rsta.2009.0080.

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Diffuse optical imaging is a medical imaging technique that is beginning to move from the laboratory to the hospital. It is a natural extension of near-infrared spectroscopy (NIRS), which is now used in certain niche applications clinically and particularly for physiological and psychological research. Optical imaging uses sophisticated image reconstruction techniques to generate images from multiple NIRS measurements. The two main clinical applications—functional brain imaging and imaging for breast cancer—are reviewed in some detail, followed by a discussion of other issues such as imaging s
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6

Demos, S. G., and R. R. Alfano. "Optical polarization imaging." Applied Optics 36, no. 1 (1997): 150. http://dx.doi.org/10.1364/ao.36.000150.

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Fujimoto, James G., Daniel L. Farkas, and Barry R. Masters. "Biomedical Optical Imaging." Journal of Biomedical Optics 15, no. 5 (2010): 059902. http://dx.doi.org/10.1117/1.3490919.

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8

Olesik, John W., and Gary M. Hieftje. "Optical imaging spectrometers." Analytical Chemistry 57, no. 11 (1985): 2049–55. http://dx.doi.org/10.1021/ac00288a010.

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9

Simon, R. S., K. J. Johnston, D. Mozurkewich, et al. "Imaging Optical interferometry." International Astronomical Union Colloquium 131 (1991): 358–67. http://dx.doi.org/10.1017/s0252921100013646.

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AbstractInterferometry at optical wavelengths is very similar to radio interferometry, once the fundamental differences in detectors are accounted for. The Mount Wilson Mark III optical interferometer has been used for optical interferometry of stars and stellar systems. Success with the Mark III has lead to the current program at the Naval Research Laboratory to build the Big Optical Array (BOA), which will be an imaging interferometer. Imaging simulations show that BOA will be able to produce images of complex stellar systems, with a resolution as fine as 0.2 milliarcseconds.
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10

Canfield, R. C. "Optical imaging spectroscopy." Solar Physics 113, no. 1-2 (1987): 95–100. http://dx.doi.org/10.1007/bf00147686.

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11

Chen, Wen, Ming Tang, and Liang Wang. "Optical Imaging, Optical Sensing and Devices." Sensors 23, no. 6 (2023): 2882. http://dx.doi.org/10.3390/s23062882.

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12

Liang, Jinyang, and Lihong V. Wang. "Single-shot ultrafast optical imaging." Optica 5, no. 9 (2018): 1113. http://dx.doi.org/10.1364/optica.5.001113.

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13

Ji Yi, Ji Yi. "Visible light optical coherence tomography in biomedical imaging." Infrared and Laser Engineering 48, no. 9 (2019): 902001. http://dx.doi.org/10.3788/irla201948.0902001.

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14

Hucheng He, Hucheng He, and Yiqun Ji and Weimin Shen Yiqun Ji and Weimin Shen. "Polarization aberration of optical systems in imaging polarimetry." Chinese Optics Letters 10, s1 (2012): S11102–311104. http://dx.doi.org/10.3788/col201210.s11102.

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15

Dixiang Shao, Dixiang Shao, Chen Yao Chen Yao, Tao Zhou Tao Zhou, et al. "Terahertz imaging using an optical frequency comb source." Chinese Optics Letters 17, no. 4 (2019): 041101. http://dx.doi.org/10.3788/col201917.041101.

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16

Jaffe, Jules. "Underwater Optical Imaging: The Design of Optimal Systems." Oceanography 1, no. 2 (1988): 40–41. http://dx.doi.org/10.5670/oceanog.1988.09.

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17

Maric, Alex, Gokul Krishnan, Rakesh Joshi, Yinuo Huang, Kashif Usmani, and Bahram Javidi. "Underwater optical imaging and sensing in turbidity using three-dimensional integral imaging: a review." Advanced Imaging 2, no. 1 (2025): 012001. http://dx.doi.org/10.3788/ai.2025.20002.

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18

Kosmeier, Sebastian, Svetlana Zolotovskaya, Anna Chiara De Luca, et al. "Nonredundant Raman imaging using optical eigenmodes." Optica 1, no. 4 (2014): 257. http://dx.doi.org/10.1364/optica.1.000257.

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19

Xi Peng, 席鹏, 刘宇嘉 Liu Yujia, 姚志荣 Yao Zhirong, and 任秋实 Ren Qiushi. "Optical Imaging Techniques in Skin Imaging Diagnosis." Chinese Journal of Lasers 38, no. 2 (2011): 0201001. http://dx.doi.org/10.3788/cjl201138.0201001.

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20

MASUOKA, Takashi, Takashi OGURA, Takeo MINAMIKAWA, et al. "Optical ultrasonic imaging with optical frequency comb." Proceedings of the JSME Conference on Frontiers in Bioengineering 2017.28 (2017): 1B16. http://dx.doi.org/10.1299/jsmebiofro.2017.28.1b16.

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21

Liu, Tinghao, Zhen Li, Ting Li, et al. "Optimal Design of Flexible Imaging Modes for Agile Optical Remote Sensing Satellites." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-3-2024 (November 7, 2024): 305–10. http://dx.doi.org/10.5194/isprs-archives-xlviii-3-2024-305-2024.

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Abstract. By utilizing their ability to maneuver along the three axes of roll, pitch and yaw, agile satellites can point quickly at the imaging area and control the optical axis of the satellite sweep in a specific manner, thus achieve a flexible imaging work mode, which can greatly enhance the mission execution ability of the satellite, and give full play to the satellite's efficiency. Optical remote sensing satellites using dynamic imaging modes have more complex and diverse imaging modes, and the number of imaging parameters that can be combined and selected significantly increases. On the
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22

Yuntao He, Yuntao He, Haiping Huang Haiping Huang, Yuesong Jiang Yuesong Jiang, and Yuedong Zhang Yuedong Zhang. "Optical phase control for MMW sparse aperture upconversion imaging." Chinese Optics Letters 12, no. 5 (2014): 051101–51106. http://dx.doi.org/10.3788/col201412.051101.

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23

De, M. "Optical Imaging and Aberrations." Journal of Optics 28, no. 1 (1999): 53–54. http://dx.doi.org/10.1007/bf03549352.

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24

Matula, Tom. "Optical imaging of bubbles." Journal of the Acoustical Society of America 130, no. 4 (2011): 2362. http://dx.doi.org/10.1121/1.3654463.

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25

YAMASHITA, Yutaka. "Optical Imaging of Tissues." Journal of the Visualization Society of Japan 13, no. 49 (1993): 77–82. http://dx.doi.org/10.3154/jvs.13.77.

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26

Nicoletti, Olivia. "All-optical dynamic imaging." Nature Materials 13, no. 10 (2014): 915. http://dx.doi.org/10.1038/nmat4102.

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27

Ntziachristos, Vasilis, Joseph P. Culver, Bradley W. Rice, and Special Section Guest Editors. "Small-Animal Optical Imaging." Journal of Biomedical Optics 13, no. 1 (2008): 011001. http://dx.doi.org/10.1117/1.2890838.

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28

Schellenberger, Eyk A., Lee Josephson, and Vasilis Ntziachristos. "Optical Imaging of Apoptosis." Medical Laser Application 18, no. 3 (2003): 191–97. http://dx.doi.org/10.1078/1615-1615-00102.

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29

Kaplan, Ehud, A. K. Prashanth, Cameron Brennan, and Lawrence Sirovich. "Optical Imaging: A Review." Optics and Photonics News 11, no. 7 (2000): 26. http://dx.doi.org/10.1364/opn.11.7.000026.

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30

Miller, Nicholas J., Matthew P. Dierking, and Bradley D. Duncan. "Optical sparse aperture imaging." Applied Optics 46, no. 23 (2007): 5933. http://dx.doi.org/10.1364/ao.46.005933.

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31

Wormell, P. M. J. H. "Advanced optical imaging theory." Optics and Lasers in Engineering 33, no. 3 (2000): 237–38. http://dx.doi.org/10.1016/s0143-8166(00)00036-1.

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32

Walt, David R. "Imaging optical sensor arrays." Current Opinion in Chemical Biology 6, no. 5 (2002): 689–95. http://dx.doi.org/10.1016/s1367-5931(02)00372-1.

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33

Kim, Hyung L. "Optical imaging in oncology." Urologic Oncology: Seminars and Original Investigations 27, no. 3 (2009): 298–300. http://dx.doi.org/10.1016/j.urolonc.2008.10.028.

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34

Chigier, Norman. "Optical imaging of sprays." Progress in Energy and Combustion Science 17, no. 3 (1991): 211–62. http://dx.doi.org/10.1016/0360-1285(91)90011-b.

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35

Hespos, Susan J. "What is Optical Imaging?" Journal of Cognition and Development 11, no. 1 (2010): 3–15. http://dx.doi.org/10.1080/15248370903453642.

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36

Shi, Guan, Chen, and Luo. "Optical Imaging in Brainsmatics." Photonics 6, no. 3 (2019): 98. http://dx.doi.org/10.3390/photonics6030098.

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When neuroscience’s focus moves from molecular and cellular level to systems level, information technology mixes in and cultivates a new branch neuroinformatics. Especially under the investments of brain initiatives all around the world, brain atlases and connectomics are identified as the substructure to understand the brain. We think it is time to call for a potential interdisciplinary subject, brainsmatics, referring to brain-wide spatial informatics science and emphasizing on precise positioning information affiliated to brain-wide connectome, genome, proteome, transcriptome, metabolome, e
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37

Jahns, Jurgen. "Integrated optical imaging system." Applied Optics 29, no. 14 (1990): 1998. http://dx.doi.org/10.1364/ao.29.001998.

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38

Clark, S. E., L. R. Jones, and L. F. DeSandre. "Coherent array optical imaging." Applied Optics 30, no. 14 (1991): 1804. http://dx.doi.org/10.1364/ao.30.001804.

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39

Vardi, Gil M., and Victor Spivak. "Optical-acoustic imaging device." Journal of the Acoustical Society of America 115, no. 5 (2004): 1881. http://dx.doi.org/10.1121/1.1757216.

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40

Hall, David J., Guobin Ma, Frederic Lesage, and Pascal Gallant. "Optical imaging and Quantitation." Academic Radiology 12, no. 5 (2005): S72—S73. http://dx.doi.org/10.1016/j.acra.2005.03.035.

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41

Keilmann, F., K. W. Kussmaul, and Z. Szentirmay. "Imaging of optical wavetrains." Applied Physics B Photophysics and Laser Chemistry 47, no. 2 (1988): 169–76. http://dx.doi.org/10.1007/bf00684084.

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42

Vollmer, Michael. "Optical Imaging and Photography." Physik in unserer Zeit 50, no. 5 (2019): 256. http://dx.doi.org/10.1002/piuz.201970514.

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43

Qiao, Wei, and Zhongjiang Chen. "All-optically integrated photoacoustic and optical coherence tomography: A review." Journal of Innovative Optical Health Sciences 10, no. 04 (2017): 1730006. http://dx.doi.org/10.1142/s1793545817300063.

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All-optically integrated photoacoustic (PA) and optical coherence tomography (OCT) dual-mode imaging technology that could offer comprehensive pathological information for accurate diagnosis in clinic has gradually become a promising imaging technology in the aspect of biomedical imaging during the recent years. This review refers to the technology aspects of all-optical PA detection and system evolution of optically integrated PA and OCT, including Michelson interferometer dual-mode imaging system, Fabry–Perot (FP) interferometer dual-mode imaging system and Mach–Zehnder interferometer dual-m
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44

Gao, Yang, and Le-Man Kuang. "Optimal quantum estimation of the displacement in optical imaging." Journal of Physics B: Atomic, Molecular and Optical Physics 52, no. 21 (2019): 215403. http://dx.doi.org/10.1088/1361-6455/ab42b7.

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Miotti, Marcos, and Daniel Varela Magalhães. "Entropy-Inspired Aperture Optimization in Fourier Optics." Entropy 27, no. 7 (2025): 730. https://doi.org/10.3390/e27070730.

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The trade-off between resolution and contrast is a transcendental problem in optical imaging, spanning from artistic photography to technoscientific applications. To the latter, Fourier-optics-based filters, such as the 4f system, are well-known for their image-enhancement properties, removing high spatial frequencies from an optically Fourier-transformed light signal through simple aperture adjustment. Nonetheless, assessing the contrast–resolution balance in optical imaging remains a challenging task, often requiring complex mathematical treatment and controlled laboratory conditions to matc
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46

Fröch, Johannes E., Shane Colburn, David J. Brady, Felix Heide, Ashok Veeraraghavan, and Arka Majumdar. "Computational imaging with meta-optics." Optica 12, no. 6 (2025): 774. https://doi.org/10.1364/optica.546382.

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Sub-wavelength diffractive meta-optics have emerged as a versatile platform to manipulate light fields at will, due to their ultra-small form factor and flexible multifunctionalities. However, miniaturization and multimodality are typically compromised by a reduction in imaging performance; thus, meta-optics often yield lower resolution and stronger aberration compared to traditional refractive optics. Concurrently, computational approaches have become popular to improve the image quality of traditional cameras and exceed limitations posed by refractive lenses. This in turn often comes at the
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47

Ghijsen, Michael, Yuting Lin, Mitchell Hsing, Orhan Nalcioglu, and Gultekin Gulsen. "Optimal Analysis Method for Dynamic Contrast-Enhanced Diffuse Optical Tomography." International Journal of Biomedical Imaging 2011 (2011): 1–13. http://dx.doi.org/10.1155/2011/426503.

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Diffuse Optical Tomography (DOT) is an optical imaging modality that has various clinical applications. However, the spatial resolution and quantitative accuracy of DOT is poor due to strong photon scatting in biological tissue. Structurala prioriinformation from another high spatial resolution imaging modality such as Magnetic Resonance Imaging (MRI) has been demonstrated to significantly improve DOT accuracy. In addition, a contrast agent can be used to obtain differential absorption images of the lesion by using dynamic contrast enhanced DOT (DCE-DOT). This produces a relative absorption ma
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48

Roh, Jae-Kyu, and Dong-Eog Kim. "Optical Imaging in the Field of Molecular Imaging." Journal of the Korean Medical Association 47, no. 2 (2004): 127. http://dx.doi.org/10.5124/jkma.2004.47.2.127.

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Hu, Chenyu, and Shensheng Han. "On Ghost Imaging Studies for Information Optical Imaging." Applied Sciences 12, no. 21 (2022): 10981. http://dx.doi.org/10.3390/app122110981.

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Since the birth of information theory, to understand, study, and optimize optical imaging systems from the information–theoretic viewpoint has been an important research subfield of optical imaging, accompanied by a series of corresponding advances. However, since the “direct point-to-point” image information acquisition mode of traditional optical imaging systems, which directly performs one-to-one signal mapping from the object to the detection plane, lacks a “coding–decoding” operation on the image information, related studies based on information theory are more meaningful in the theoretic
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50

Lee, Kijoon. "Optical mammography: Diffuse optical imaging of breast cancer." World Journal of Clinical Oncology 2, no. 1 (2011): 64. http://dx.doi.org/10.5306/wjco.v2.i1.64.

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