In vivo multimodality ophthalmic imaging using surgical microscope-integrated intraoperative spectrally-encoded coherence tomography and reflectometry (iSECTR) (Conference Presentation)

2019 ◽  
Author(s):  
Yuankai Kenny K. Tao
Keyword(s):  
Surgical Microscope ◽  
Ophthalmic Imaging ◽  
Spectrally Encoded

Large-area spectrally encoded confocal endomicroscopy of the human esophagus in vivo

2016 ◽  
Vol 49 (3) ◽  
pp. 233-239 ◽  
Author(s):  
Dongkyun Kang ◽  
Simon C. Schlachter ◽  
Robert W. Carruth ◽  
Minkyu Kim ◽  
Tao Wu ◽  
...  
Keyword(s):  
Large Area ◽  
Confocal Endomicroscopy ◽  
Spectrally Encoded ◽  
Human Esophagus

scholarly journals Label-free, non-contact, in vivo ophthalmic imaging using photoacoustic remote sensing microscopy

2020 ◽  
Vol 45 (22) ◽  
pp. 6254
Author(s):  
Zohreh Hosseinaee ◽  
Layla Khalili ◽  
James A. Tummon Simmons ◽  
Kevan Bell ◽  
Parsin Haji Reza
Keyword(s):  
Remote Sensing ◽  
Label Free ◽  
Ophthalmic Imaging

scholarly journals Retinal axial motion analysis and implications for real-time correction in human retinal imaging

2022 ◽  
Author(s):  
Yao Cai ◽  
Kate Grieve ◽  
Pedro Mecê
Keyword(s):  
Retinal Imaging ◽  
Breath Holding ◽  
High Temporal Resolution ◽  
Axial Motion ◽  
Full Field ◽  
Stabilization Control ◽  
Typical Data ◽  
Ophthalmic Imaging ◽  
Time Correction

High-resolution ophthalmic imaging devices including spectral-domain and full-field optical coherence tomography (SDOCT and FFOCT) are adversely affected by the presence of continuous involuntary retinal axial motion. Here, we thoroughly quantify and characterize retinal axial motion with both high temporal resolution (200,000 A-scans/s) and high axial resolution (4.5 um), recorded over a typical data acquisition duration of 3 s with an SDOCT device over 14 subjects. We demonstrate that although breath-holding can help decrease large-and-slow drifts, it increases small-and-fast fluctuations, which is not ideal when motion compensation is desired. Finally, by simulating the action of an axial motion stabilization control loop, we show that a loop rate of 1.2 kHz is ideal to achieve 100% robust clinical in-vivo retinal imaging.

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