Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/143469
Title: Bessel-Gauss beam light sheet assisted fluorescence imaging of Trabecular meshwork in the Iridocorneal region using long working distance objectives
Authors: Sandeep, C. S. Suchand
Sreelatha, Sarangapani
Baskaran, Mani
Hong, Jeesmond Xun Jie
Aung, Tin
Murukeshan, Vadakke Matham
Keywords: Engineering::Mechanical engineering
Issue Date: 2019
Source: Sandeep, C. S. S., Sreelatha, S., Baskaran, M., Hong, J. X. J., Aung, T., & Murukeshan, V. M. (2019). Bessel-Gauss beam light sheet assisted fluorescence imaging of Trabecular meshwork in the Iridocorneal region using long working distance objectives. Proceedings of the 2019 9th International Conference on Bioscience, Biochemistry and Bioinformatics (ICBBB 2019), 8-11. doi:10.1145/3314367.3314380
Abstract: Glaucoma is one of the leading cause of blindness characterized by increased intra ocular pressure (IOP), visual field defects and irreversible loss of vision. Remedial intervention of glaucoma primarily aims at the reduction of IOP and subsequent examination concerning the related anomalies in the aqueous outflow system (AOS) especially with newer angle procedures. Thus, high resolution imaging of the iridocorneal angle (ICA) region comprising trabecular meshwork (TM) is extremely valuable to clinicians and vision analysts in comprehending the disease state for the efficacious analysis and treatment of glaucoma. Imaging of the AOS inside the eye using the digitally scanned Bessel-Gauss beam light sheet microscopy has been used in this study to obtain high resolution optical sections with minimal phototoxicity and photobleaching. This paper investigates the effect of long working distance objectives in obtaining high resolution TM images while offering non-contact and non-invasive approach in imaging. A series of experiments were conducted to optimize various imaging parameters using porcine eyes as test samples. Investigations carried out by illuminating both the anterior segment region and limbal region resulted in promising results. A delineated network of collagen fibers in a meshwork fashion can be clearly seen in the obtained images of the TM. The optical sectioning capability of this technique is demonstrated and the structural features match well with previous literature reports.
URI: https://hdl.handle.net/10356/143469
ISBN: 978-1-4503-6654-0
DOI: 10.1145/3314367.3314380
Rights: © 2019 Association for Computing Machinery. All rights reserved. This paper was published in Proceedings of the 2019 9th International Conference on Bioscience, Biochemistry and Bioinformatics (ICBBB 2019) and is made available with permission of Association for Computing Machinery.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Conference Papers

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