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Bibliografias temáticas / Optical coherence tomography

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Literatura científica selecionada sobre o tema "Optical coherence tomography"

Autor: Grafiati

Publicado: 4 de junho de 2021

Última modificação: 1 de agosto de 2024

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Artigos de revistas sobre o assunto "Optical coherence tomography"

1

Kumar Singh Anjali, Avanish. "Study of Clinical Evaluation of Glaucoma with Anterior Segment OCT (Optical Coherence Tomography) and Optic Nerve Head OCT (Optical Coherence Tomography)". International Journal of Science and Research (IJSR) 12, n.º 8 (5 de agosto de 2023): 627–32. http://dx.doi.org/10.21275/mr23728180729.

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Huang, David. "“Optical” coherence tomography, not “ocular” coherence tomography". Journal of Cataract & Refractive Surgery 33, n.º 7 (julho de 2007): 1141. http://dx.doi.org/10.1016/j.jcrs.2007.02.047.

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Soeda, Tsunenari, Shiro Uemura, Yoshihiko Saito, Kyoichi Mizuno e Ik-Kyung Jang. "Optical Coherence Tomography and Coronary Plaque Characterization". Journal of the Japanese Coronary Association 19, n.º 4 (2013): 307–14. http://dx.doi.org/10.7793/jcoron.19.033.

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C. Kharmyssov, C. Kharmyssov, M. W. L. Ko M. W. L. Ko e J. R. Kim J. R. Kim. "Automated segmentation of optical coherence tomography images". Chinese Optics Letters 17, n.º 1 (2019): 011701. http://dx.doi.org/10.3788/col201917.011701.

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El-Sherif, Ashraf, Yasser El-Sharkawy e Ramy Yehia. "Optical Coherence Tomography". International Conference on Mathematics and Engineering Physics 4, n.º 4 (1 de maio de 2008): 1. http://dx.doi.org/10.21608/icmep.2008.29902.

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Puliafito, Carmen A. "Optical Coherence Tomography". Ophthalmic Surgery, Lasers and Imaging Retina 31, n.º 3 (maio de 2000): 181. http://dx.doi.org/10.3928/1542-8877-20000501-03.

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Ahmad, Faheem, e Muhmmad Hussian. "OPTICAL COHERENCE TOMOGRAPHY". Professional Medical Journal 23, n.º 09 (10 de setembro de 2016): 1149–56. http://dx.doi.org/10.29309/tpmj/2016.23.09.1713.

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“Glaucoma an optic neuropathy is a caused by progressive retinal ganglion cell(RGC) loss associated with characteristic structural changes in the optic nerve and retinal nervefiber layer (RNFL).Glaucoma induced damage causes the retinal ganglion cells loss that canresult in functional loss and decrease in vision of patient . Measurement of intraocular pressureby Tonometery, characteristics of the optic nerve head changes and associated visual fieldloss are used for diagnosis of Glaucoma. Objectives: To determine the diagnostic accuracy ofOptical Coherence Tomography in detection of glaucoma taking perimetry as gold standard.Study Design: Cross sectional (validation). Period: Six months from 17-02-2014 to 16-08-2014.Material and Method: Regarding the Inclusion Criteria patients of glaucoma suspects that meetthe criteria mentioned in operational definition of either gender with age range between 35- 60years were included while patients having refractive errors, hazy media, pupil size less than4mm after dilation were not included in this study. Also patients with history diabetes mellitus,refractive or retinal surgery were also excluded. All the data was entered and analyzed by usingSPSS V-16. Results: A total of 100 patients were included in this study during the study period.Majority of the patients were between 35-45 years of age and minimum patients were 56-60 years old. Mean age of the patients was 47.10±8.02 years. Males and females were 50(50%). At OCT glaucoma was present in 71 patients while at perimetry glaucoma was presentin 69 patients .Sensitivity, specificity and diagnostic accuracy of OCT was 92.7%, 77.4%, 88.0%,respectively .Positive predictive value and negative predictive value of OCT was 90.1% and82.7%, respectively. Discussion: Regarding the pathogenesis of Glaucoma induced damageis due to result of retinal ganglion cell (RGC) death with progressive loss of axons located inthe retinal nerve fiber layer (RNFL). Many clinical studies showed that optic nerve head (ONH)damage and thinning of the RNFL occur earlier than the appearance of Glaucoma inducedvisual field defects; Conclusion: In conclusion, glaucoma suspects undergoing the OCT canbe assessed for the presence of glaucoma based purely on the results of the OCT.

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Huang, D., E. Swanson, C. Lin, J. Schuman, W. Stinson, W. Chang, M. Hee et al. "Optical coherence tomography". Science 254, n.º 5035 (22 de novembro de 1991): 1178–81. http://dx.doi.org/10.1126/science.1957169.

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Yelbuz, T. Mesud, Michael A. Choma, Lars Thrane, Margaret L. Kirby e Joseph A. Izatt. "Optical Coherence Tomography". Circulation 106, n.º 22 (26 de novembro de 2002): 2771–74. http://dx.doi.org/10.1161/01.cir.0000042672.51054.7b.

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Yonetsu, Taishi, Brett E. Bouma, Koji Kato, James G. Fujimoto e Ik-Kyung Jang. "Optical Coherence Tomography". Circulation Journal 77, n.º 8 (2013): 1933–40. http://dx.doi.org/10.1253/circj.cj-13-0643.1.

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Teses / dissertações sobre o assunto "Optical coherence tomography"

1

Huang, David. "Optical coherence tomography". Thesis, Massachusetts Institute of Technology, 1993. http://hdl.handle.net/1721.1/12675.

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Muscat, Sarah. "Optical coherence tomography". Thesis, Connect to e-thesis, 2003. http://theses.gla.ac.uk/630/.

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Thesis (Ph.D.) - University of Glasgow, 2003.
Ph.D. thesis submitted to the Department of Cardiovascular and Medical Sciences, Faculty of Medicine, University of Glasgow, 2003. Includes bibliographical references. Print version also available.

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Xu, Weiming. "Offset Optical Coherence Tomography". Miami University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=miami1626870603439104.

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Akcay, Avni Ceyhun. "System design and optimization of optical coherence tomography". Doctoral diss., University of Central Florida, 2005. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3586.

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Optical coherence imaging, including tomography (OCT) and microscopy (OCM), has been a growing research field in biomedical optical imaging in the last decade. In this imaging modality, a broadband light source, thus of short temporal coherence length, is used to perform imaging via interferometry. A challenge in optical coherence imaging, as in any imaging system towards biomedical diagnosis, is the quantification of image quality and optimization of the system components, both a primary focus of this research. We concentrated our efforts on the optimization of the imaging system from two main standpoints: axial point spread function (PSF) and practical steps towards compact low-cost solutions. Up to recently, the criteria for the quality of a system was based on speed of imaging, sensitivity, and particularly axial resolution estimated solely from the full-width at half-maximum (FWHM) of the axial PSF with the common practice of assuming a Gaussian source power spectrum. As part of our work to quantify axial resolution we first brought forth two more metrics unlike FWHM, which accounted for side lobes in the axial PSF caused by irregularities in the shape of the source power spectrum, such as spectral dips. Subsequently, we presented a method where the axial PSF was significantly optimized by suppressing the side lobes occurring because of the irregular shape of the source power spectrum. The optimization was performed through optically shaping the source power spectrum via a programmable spectral shaper, which consequentially led to suppression of spurious structures in the images of a layered specimen. The superiority of the demonstrated approach was in performing reshaping before imaging, thus eliminating the need for post-data acquisition digital signal processing. Importantly, towards the optimization and objective image quality assessment in optical coherence imaging, the impact of source spectral shaping was further analyzed in a task-based assessment method based on statistical decision theory. Two classification tasks, a signal-detection task and a resolution task, were investigated. Results showed that reshaping the source power spectrum was a benefit essentially to the resolution task, as opposed to both the detection and resolution tasks, and the importance of the specimen local variations in index of refraction on the resolution task was demonstrated. Finally, towards the optimization of OCT and OCM for use in clinical settings, we analyzed the detection electronics stage, which is a crucial component of the system that is designed to capture extremely weak interferometric signals in biomedical and biological imaging applications. We designed and tested detection electronics to achieve a compact and low-cost solution for portable imaging units and demonstrated that the design provided an equivalent performance to the commercial lock-in amplifier considering the system sensitivity obtained with both detection schemes.
Ph.D.
Optics and Photonics
Optics

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Malmström, Mikael. "Multi-angle Oblique Optical Coherence Tomography". Thesis, KTH, Laserfysik, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-72978.

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Optical Coherence Tomography (OCT) is a non-invasive high-resolutionmethod for measuring the reectance of scattering media in 1/2/3D, e.g.skin. The method has been used in a number of dierent medical elds andfor measurement of tissue optical properties.The software developed in this thesis is able to display features hidden ina shadowed volume by adding multiple OCT measurements taken at obliqueangles, a technique here called Multiple-Angle Oblique Optical CoherenceTomography (MAO-OCT).Three dierent objects with were measured at 5 to 9 angles. The measurementswere automatically and manually aligned in the software. They werealso tested with 6 dierent high pass intensity lters (HPIF) and reduced insize using 4 dierent methods to speed up calculations.The software's automatic alignment was tested with one tilted computergenerated test at 9 angles and with 5 dierent shadow strengths.With MAO-OCT it is possible to remove some eects of shadows in OCT,though it comes with a cost of reduced sharpness. The errors depend muchon the dierences in index of refraction in the sample.The software managed to automatically align 90% of the articial measurements,and 60% of the OCT measurements. The shadow strength andthe resize method had no noticeable eect on the automatic alignment of themeasurements.

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Alex, Aneesh. "Multispectral three-dimensional optical coherence tomography". Thesis, Cardiff University, 2010. http://orca.cf.ac.uk/54164/.

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A spectral-domain OCT system operating at 1300 nm wavelength region, capable of acquiring 47,000 A-lines/s, was designed and developed. Its axial and transverse resolutions were ∼ 6 µm and ∼15 µm respectively. OCT images of human skin were obtained in vivo using three OCT systems, in order to find the optimal wavelength region for dermal imaging. 800 nm OCT system provided better image contrast over other two wavelength regions. Meanwhile, 1300 nm wavelength region was needed to obtain information from deeper dermal layers. To determine the effect of melanin pigmentation on OCT, images were taken from subjects with different ethnic origins. Interestingly, melanin pigmentation was found to have little effect on penetration depth in OCT. In vitro tumour samples, comprising samples with different degrees of dysplasia, were imaged at 800 nm, 1060 nm and 1300 nm wavelength regions to find the capability of OCT to diagnose microstructural changes occurring during tumour progression. 800 nm OCT system was capable to detect the malignant changes with higher contrast than other wavelength regions. However, higher wavelength regions were required to penetrate deeper in densely scattering tumour samples at advanced stages. OCT system operating at 1060 nm was combined with a photoacoustic imaging (PAT) system to obtain complementary information from biological tissues. This multimodal OCT/PAT system demonstrated its potential to deliver microstructural information based on optical scattering and vascular information based on optical absorption in living mice and human skin. The results indicate OCT as a promising imaging modality that can have profound applications in several areas of clinical diagnostic imaging.

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Hee, Michael Richard. "Optical coherence tomography of the eye". Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/10263.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.
Includes bibliographical references (p. 221-230).
by Michael Richard Hee.
Ph.D.

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Valdez, Ashley. "Snapshot Spectral Domain Optical Coherence Tomography". Thesis, The University of Arizona, 2016. http://hdl.handle.net/10150/613413.

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Optical coherence tomography systems are used to image the retina in 3D to allow ophthalmologists diagnose ocular disease. These systems yield large data sets that are often labor-intensive to analyze and require significant expertise in order to draw conclusions, especially when used over time to monitor disease progression. Spectral Domain Optical Coherence Tomography (SD-OCT) instantly acquires depth profiles at a single location with a broadband source. These systems require mechanical scanning to generate two- or three-dimensional images. Instead of mechanically scanning, a beamlet array was used to permit multiple depth measurements on the retina with a single snapshot using a 3x 3 beamlet array. This multi-channel system was designed, assembled, and tested using a 1 x 2 beamlet lens array instead of a 3 x 3 beamlet array as a proof of concept prototype. The source was a superluminescent diode centered at 840nm with a 45nm bandwidth. Theoretical axial resolution was 6.92um and depth of focus was 3.45mm. Glass samples of varying thickness ranging from 0.18mm to 1.14mm were measured with the system to validate that correct depth profiles can be acquired for each channel. The results demonstrated the prototype system performed as expected, and is ready to be modified for in vivo applicability.

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Wang, Zhao. "Intravascular Optical Coherence Tomography Image Analysis". Case Western Reserve University School of Graduate Studies / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=case1364673682.

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Beitel, David. "Development of optical sources for optical coherence tomography". Thesis, McGill University, 2007. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=112557.

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The development of two different classes of optical sources for TD-OCT and FD-OCT are presented in this thesis. The design of several low-cost, high-performance BBSs, based on the ASE of two SOAs and EDF, are presented. Two different configuration types that were designed in this thesis are found to be effective BBSs. These sources are implemented in a TD-OCT system and therefore imaging performance is discussed as well. Secondly, two different WSSs based on mode-locked SFRLs with applications in SS-OCT are presented.
From our experimental results with BBSs, we conclude that: (1) S/C-band output produced by the ASE emitted from two cascaded SOAs can be effectively extended with L-band output produced from the ASE of EDF; (2) An even broader output is achievable by: coupling the C-band and L-band outputs from a C-band SOA and EDF respectively and then amplifying the coupled output through an S-band SOA; (3) OCT imaging systems employing a light source with an S+C+L band output, with a center wavelength of approximately 1520 nm, can achieve high penetration depths in biological tissue.
From our experimental results with SFRLs, we conclude that: (1) Our two SFRL configurations generate picosecond pulses with reasonably narrow linewidths: 0.2--0.5 nm, and a sweeping range of about 50 nm; (2) These SFRLs can function as laser swept sources by setting the driving frequency of the RF generator to a periodic ramping function.

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Mais fontes

Livros sobre o assunto "Optical coherence tomography"

1

Bernardes, Rui, e José Cunha-Vaz, eds. Optical Coherence Tomography. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27410-7.

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Girach, Aniz, e Robert C. Sergott, eds. Optical Coherence Tomography. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-24817-2.

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Drexler, Wolfgang, e James G. Fujimoto, eds. Optical Coherence Tomography. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-77550-8.

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Saxena, Sandeep. Optical coherence tomography. New York, NY: McGraw-Hill Medical, 2008.

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5

1942-, Meredith Travis A., e Saxena Sandeep, eds. Optical coherence tomography. New York, NY: McGraw-Hill, 2008.

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6

1964-, Bouma Brett E., e Tearney Guillermo J, eds. Handbook of optical coherence tomography. New York: Marcel Dekker, 2002.

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7

Akman, Ahmet, Atilla Bayer e Kouros Nouri-Mahdavi, eds. Optical Coherence Tomography in Glaucoma. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94905-5.

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F, Steinert Roger, e Huang David, eds. Anterior segment optical coherence tomography. Thorofare, NJ: SLACK, 2008.

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9

F, Steinert Roger, e Huang David, eds. Anterior segment optical coherence tomography. Thorofare, NJ: SLACK, 2008.

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Steinert, Roger, e David Huang. Anterior Segment Optical Coherence Tomography. Boca Raton: CRC Press, 2024. http://dx.doi.org/10.1201/9781003522560.

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Capítulos de livros sobre o assunto "Optical coherence tomography"

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Fernández, Enrique Josua, e Pablo Artal. "Adaptive Optics in Ocular Optical Coherence Tomography". In Optical Coherence Tomography, 209–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27410-7_10.

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Sahoo, Niroj Kumar, Priya R. Chandrasekaran, Ninan Jacob e Gemmy Cheung. "Optical Coherence Tomography and Optical Coherence Tomography-Angiography". In Ophthalmic Diagnostics, 361–85. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-0138-4_28.

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Haeussler-Sinangin, Yesim, e Thomas Kohnen. "Optical Coherence Tomography". In Encyclopedia of Ophthalmology, 1–2. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-642-35951-4_407-4.

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Nolte, David D. "Optical Coherence Tomography". In Optical Interferometry for Biology and Medicine, 297–306. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0890-1_11.

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Tsang, Stephen H., e Tarun Sharma. "Optical Coherence Tomography". In Advances in Experimental Medicine and Biology, 11–13. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95046-4_3.

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Boccara, Claude, e Arnaud Dubois. "Optical Coherence Tomography". In Optics in Instruments, 101–23. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118574386.ch3.

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Boppart, Stephen A. "Optical Coherence Tomography". In Springer Series in Optical Sciences, 309–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-46022-0_13.

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Welzel, Julia. "Optical Coherence Tomography". In Non Invasive Diagnostic Techniques in Clinical Dermatology, 35–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32109-2_3.

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Haeussler-Sinangin, Yesim, e Thomas Kohnen. "Optical Coherence Tomography". In Encyclopedia of Ophthalmology, 1282–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-540-69000-9_407.

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Michel, Ross G. "Optical Coherence Tomography". In Principles and Practice of Interventional Pulmonology, 237–45. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-4292-9_23.

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Trabalhos de conferências sobre o assunto "Optical coherence tomography"

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Brunner, Elisabeth, Laura Kunze, Ursula Schmidt-Erfurth, Wolfgang Drexler, Andreas Pollreisz e Michael Pircher. "Focusing on anterior retinal layers with adaptive optics optical coherence tomography". In Optical Coherence Tomography. Washington, D.C.: Optica Publishing Group, 2024. http://dx.doi.org/10.1364/oct.2024.thd1.1.

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The neurosensory part of the retina is essential for vision and contains a large variety of microstructures and types. Changes thereof, for example in the thickness of vessel walls or the presence of microglia may serve as early biomarker for diseases such as diabetic retinopathy. This study investigates the ability of adaptive optics optical coherence tomography (AO-OCT) to visualize microstructural details on a cellular level in single volume scans and on a large field of view.

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Lin, Yuechuan, Nichaluk Leartprapun e Steven G. Adie. "High-throughput lightsheet optical manipulation and measurement with optical coherence tomography". In Optical Coherence Tomography. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/oct.2020.otu1e.4.

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Wax, Adam. "Applications of Low Cost Optical Coherence Tomography". In Optical Coherence Tomography. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/oct.2020.om2e.2.

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Borycki, Dawid, Egidijus Auksorius, Piotr Węgrzyn e Maciej Wojtkowski. "Digital aberration correction in spatiotemporal optical coherence (STOC) imaging with coherent averaging". In Optical Coherence Tomography. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/oct.2020.om2e.4.

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Schmetterer, Leopold, Rene M. Werkmeister, Damon Wing Kee Wong, Bingyao Tan, Xinwen Yao, Jacqueline Chua e Gerhard Garhofer. "Quantitative Perfusion Measurements based on Doppler OCT and OCT Angiography". In Optical Coherence Tomography. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/oct.2020.om3e.1.

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Auksorius, Egidijus, Dawid Borycki e Maciej Wojtkowski. "Crosstalk-free in vivo imaging of a human retina with Fourier-domain full-field optical coherence tomography". In Optical Coherence Tomography. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/oct.2020.om3e.2.

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Mujat, Mircea, Yang Lu, Gopi Maguluri, Nicusor Iftimia e R. Daniel Ferguson. "Isotropic Imaging of Retinal Structures with Multi-Channel AOSLO". In Optical Coherence Tomography. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/oct.2020.om3e.3.

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Park, Hyeon-Cheol, Dawei Li, Runyu Tang, Cadman L. Leggett, Kenneth K. Wang e Xingde Li. "Ex vivo Human Esophageal Tissue Imaging with Ultrahigh-resolution OCT Capsule". In Optical Coherence Tomography. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/oct.2020.om4e.3.

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Pfister, Martin, Kornelia Schuetzenberger, Jasmin Schaefer, Hannes Stegmann, Martin Groeschl e René M. Werkmeister. "Identifying Diabetes in Mice using Optical Coherence Tomography Angiography Images of the Ears and Deep Learning". In Optical Coherence Tomography. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/oct.2020.om4e.4.

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Williams, Joseph, Wai Ching Lin, Wei Li, Shuangyu Wang, Stephen J. Matcher e Adrien A. P. Chauvet. "Translating Optical Coherence Tomography Technologies from Clinical Studies to Botany: Real Time Imaging of Long-Distance Signaling in Plants". In Optical Coherence Tomography. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/oct.2020.om4e.6.

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Relatórios de organizações sobre o assunto "Optical coherence tomography"

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Fujimoto, James G. Advanced Technologies for Ultrahigh Resolution and Functional Optical Coherence Tomography. Fort Belvoir, VA: Defense Technical Information Center, abril de 2008. http://dx.doi.org/10.21236/ada482111.

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Suter, Melissa J. Electromagnetic-Optical Coherence Tomography Guidance of Transbronchial Solitary Pulmonary Nodule Biopsy. Fort Belvoir, VA: Defense Technical Information Center, julho de 2014. http://dx.doi.org/10.21236/ada614445.

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Xiao, Xili, Rong Fan, Huan Liu, Chengzhi Jiang e Li Wan. Optical coherence tomography in depression: A protocol of systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, maio de 2022. http://dx.doi.org/10.37766/inplasy2022.5.0142.

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Jiang, yang, e shixin Qi. Diagnostic test accuracy of spectral-domain optical coherence tomography used to Differentiate PCV from nvAMD and other diseases that tend to cause serous or serosanguinous retinal pigment epithelial detachment: a systematic review protocol. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, dezembro de 2021. http://dx.doi.org/10.37766/inplasy2021.12.0048.

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Fujimoto, James G. Optical Coherence Tomographic Imaging and Delivery for Surgical Guidance. Fort Belvoir, VA: Defense Technical Information Center, maio de 2004. http://dx.doi.org/10.21236/ada428494.

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Letcher, Theodore, Julie Parno, Zoe Courville, Lauren Farnsworth e Jason Olivier. A generalized photon-tracking approach to simulate spectral snow albedo and transmittance using X-ray microtomography and geometric optics. Engineer Research and Development Center (U.S.), junho de 2023. http://dx.doi.org/10.21079/11681/47122.

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Resumo:

A majority of snow radiative transfer models (RTMs) treat snow as a collection of idealized grains rather than an organized ice–air matrix. Here we present a generalized multi-layer photon-tracking RTM that simulates light reflectance and transmittance of snow based on X-ray micro- tomography images, treating snow as a coherent 3D structure rather than a collection of grains. The model uses a blended approach to expand ray-tracing techniques applied to sub-1 cm3 snow samples to snowpacks of arbitrary depths. While this framework has many potential applications, this study’s effort is focused on simulating reflectance and transmittance in the visible and near infrared (NIR) through thin snow- packs as this is relevant for surface energy balance and remote sensing applications. We demonstrate that this framework fits well within the context of previous work and capably reproduces many known optical properties of a snow surface, including the dependence of spectral reflectance on the snow specific surface area and incident zenith angle as well as the surface bidirectional reflectance distribution function (BRDF). To evaluate the model, we compare it against reflectance data collected with a spectroradiometer at a field site in east-central Vermont. In this experiment, painted panels were inserted at various depths beneath the snow to emulate thin snow. The model compares remarkably well against the reflectance measured with a spectroradiometer, with an average RMSE of 0.03 in the 400–1600 nm range. Sensitivity simulations using this model indicate that snow transmittance is greatest in the visible wavelengths, limiting light penetration to the top 6 cm of the snowpack for fine-grain snow but increasing to 12 cm for coarse-grain snow. These results suggest that the 5% transmission depth in snow can vary by over 6 cm according to the snow type.

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