Characterization of ovarian tissue using polarization-sensitive optical coherence tomography

2013 ◽  
Author(s):  
Tianheng Wang ◽  
Yi Yang ◽  
Xiaohong Wang ◽  
Melinda Sanders ◽  
Molly Brewer ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Ovarian Tissue ◽  
Optical Coherence

scholarly journals Morpho-molecular ex vivo detection and grading of non-muscle-invasive bladder cancer using forward imaging probe based multimodal optical coherence tomography and Raman spectroscopy

The Analyst ◽  
2020 ◽  
Vol 145 (4) ◽  
pp. 1445-1456 ◽  
Author(s):  
Fabian Placzek ◽  
Eliana Cordero Bautista ◽  
Simon Kretschmer ◽  
Lara M. Wurster ◽  
Florian Knorr ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Optical Coherence Tomography ◽  
Imaging System ◽  
Ex Vivo ◽  
Large Field ◽  
Optical Coherence ◽  
Fiber Optic Probe ◽  
Optic Probe ◽  
Muscle Invasive

Characterization of bladder biopsies, using a combined fiber optic probe-based optical coherence tomography and Raman spectroscopy imaging system that allows a large field-of-view imaging and detection and grading of cancerous bladder lesions.

scholarly journals Characterization of Optical Coherence Tomography Images for Colon Lesion Differentiation under Deep Learning

2021 ◽  
Vol 11 (7) ◽  
pp. 3119
Author(s):  
Cristina L. Saratxaga ◽  
Jorge Bote ◽  
Juan F. Ortega-Morán ◽  
Artzai Picón ◽  
Elena Terradillos ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Deep Learning ◽  
Data Augmentation ◽  
Optical Biopsy ◽  
Colon Polyps ◽  
Optical Coherence ◽  
Colon Lesion ◽  
Patient Prognosis ◽  
B Scan Images

(1) Background: Clinicians demand new tools for early diagnosis and improved detection of colon lesions that are vital for patient prognosis. Optical coherence tomography (OCT) allows microscopical inspection of tissue and might serve as an optical biopsy method that could lead to in-situ diagnosis and treatment decisions; (2) Methods: A database of murine (rat) healthy, hyperplastic and neoplastic colonic samples with more than 94,000 images was acquired. A methodology that includes a data augmentation processing strategy and a deep learning model for automatic classification (benign vs. malignant) of OCT images is presented and validated over this dataset. Comparative evaluation is performed both over individual B-scan images and C-scan volumes; (3) Results: A model was trained and evaluated with the proposed methodology using six different data splits to present statistically significant results. Considering this, 0.9695 (±0.0141) sensitivity and 0.8094 (±0.1524) specificity were obtained when diagnosis was performed over B-scan images. On the other hand, 0.9821 (±0.0197) sensitivity and 0.7865 (±0.205) specificity were achieved when diagnosis was made considering all the images in the whole C-scan volume; (4) Conclusions: The proposed methodology based on deep learning showed great potential for the automatic characterization of colon polyps and future development of the optical biopsy paradigm.

scholarly journals Biophotonic approach for the characterization of initial bitter-rot progression on apple specimens using optical coherence tomography assessments

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Ruchire Eranga Wijesinghe ◽  
Seung-Yeol Lee ◽  
Naresh Kumar Ravichandran ◽  
Muhammad Faizan Shirazi ◽  
Pilun Kim ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Optical Coherence ◽  
Bitter Rot

Design, implementation, and characterization of spectrometer-based spectral domain optical coherence tomography

2014 ◽  
Author(s):  
Kunakorn Palawong ◽  
Pornthep Pongchalee ◽  
Porntip Chuamchaitrakool ◽  
Sukanya Tachatraiphop ◽  
Joewono Widjaja ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Spectral Domain ◽  
Optical Coherence

scholarly journals Spectral-Domain Optical Coherence Tomography-Based Morphofunctional Characterization of Dome-Shaped Maculopathy in Indian Population

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Naresh Babu Kannan ◽  
Sagnik Sen ◽  
Prithviraj Udaya ◽  
Obuli Ramachandran ◽  
Kim Ramasamy
Keyword(s):  
Optical Coherence Tomography ◽  
Indian Population ◽  
Subretinal Fluid ◽  
Cross Sectional Study ◽  
Spectral Domain ◽  
Dome Height ◽  
Optical Coherence ◽  
Cross Sectional ◽  
Sd Oct

Purpose. To study the clinicodemographic profile of dome-shaped maculopathy (DSM) eyes in the Indian population and characterization using spectral-domain optical coherence tomography (SD-OCT). Methods. This observational cross-sectional study included 25 eyes of 14 patients diagnosed with DSM. All eyes underwent SD-OCT for characterization of the dome profile and also to measure central macular thickness (CMT), subfoveal choroidal thickness (SFCT), and dome height (DH) and to detect the presence of subretinal fluid (SRF). Results. The mean age of patients was 48.36 ± 14.23 years (range, 28–65 years). Eleven patients had bilateral involvement. Mean axial length of all eyes was 24.25 ± 1.95 mm and mean spherical equivalent −4.23 ± 3.79 DS. Overall, 11/25 eyes (44%) had round domes, 9/25 eyes (36%) had horizontal domes, and 5/25 eyes (20%) had vertical domes, with a mean dome height at fovea of 500.54 ± 291.58 µm. Vertical domes had higher DH compared to horizontal or combined domes p = 0.02 . Six eyes (6/25, 24%) showed the presence of SRF; 60% of vertical domes had SRF, and 22.2% of horizontal domes had SRF. The eyes having SRF had significantly higher CMT p = 0.017 and DH p = 0.001 , especially in horizontal domes p = 0.023 . The eyes with thicker SFCT tended to have higher DH and poorer visual acuity. Conclusion. Indian DSM eyes may have relatively lesser amounts of myopia. Choroidal thickening may play a role in development of DSM and may also be related to development of subretinal fluid in such eyes.

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