GPU-based computational adaptive optics for volumetric optical coherence microscopy

2016 ◽  
Author(s):  
Han Tang ◽  
Jeffrey A. Mulligan ◽  
Gavrielle R. Untracht ◽  
Xihao Zhang ◽  
Steven G. Adie
Keyword(s):  
Adaptive Optics ◽  
Optical Coherence ◽  
Optical Coherence Microscopy

Optical coherence microscopy using hardware and computational adaptive optics

2015 ◽  
Author(s):  
Yuan-Zhi Liu ◽  
Fredrick A. South ◽  
Paritosh Pande ◽  
Nathan D. Shemonski ◽  
P. Scott Carney ◽  
...  
Keyword(s):  
Adaptive Optics ◽  
Optical Coherence ◽  
Optical Coherence Microscopy

Dynamic retinal optical coherence microscopy without adaptive optics

2009 ◽  
Author(s):  
Rainer A. Leitgeb ◽  
Tilman Schmoll ◽  
Christoph Kolbitsch
Keyword(s):  
Adaptive Optics ◽  
Optical Coherence ◽  
Optical Coherence Microscopy

A Random Field Computational Adaptive Optics Framework for Optical Coherence Microscopy

2019 ◽  
pp. 283-294
Author(s):  
Ameneh Boroomand ◽  
Bingyao Tan ◽  
Mohammad Javad Shafiee ◽  
Kostadinka Bizheva ◽  
Alexander Wong
Keyword(s):  
Random Field ◽  
Adaptive Optics ◽  
Optical Coherence ◽  
Optical Coherence Microscopy

scholarly journals Quantitative reconstruction of time-varying 3D cell forces with traction force optical coherence microscopy

2018 ◽  
Author(s):  
Jeffrey A. Mulligan ◽  
Xinzeng Feng ◽  
Steven G. Adie
Keyword(s):  
Adaptive Optics ◽  
Failure Modes ◽  
Traction Force ◽  
Optical Coherence ◽  
Scattering Media ◽  
Extensive Discussion ◽  
Optical Coherence Microscopy ◽  
Quantitative Reconstruction ◽  
Temporal Sampling ◽  
Biomechanical Behavior

AbstractCellular traction forces (CTFs) play an integral role in both physiological processes and disease, and are a topic of interest in mechanobiology. Traction force microscopy (TFM) is a family of methods used to quantify CTFs in a variety of settings. State-of-the-art 3D TFM methods typically rely on confocal fluorescence microscopy, which can impose limitations on acquisition speed, volumetric coverage, and temporal sampling or coverage. In this report, we present the first quantitative implementation of a new TFM technique: traction force optical coherence microscopy (TF-OCM). TF-OCM leverages the capabilities of optical coherence microscopy and computational adaptive optics (CAO) to enable the quantitative reconstruction of 3D CTFs in scattering media with minute-scale temporal resolution. We applied TF-OCM to quantify CTFs exerted by isolated NIH-3T3 fibroblasts embedded in Matrigel, with five-minute temporal sampling, using images which spanned a 500×500×500 μm3 field-of-view. Due to the reliance of TF-OCM on computational imaging methods, we have provided extensive discussion of the underlying equations, assumptions, and failure modes of these methods. TF-OCM has the potential to advance studies of biomechanical behavior in scattering media, and may be especially well-suited to the study of cell collectives such as spheroids, a prevalent model in mechanobiology research.

Computational adaptive optics for high-throughput volumetric optical coherence microscopy

SPIE Newsroom ◽  
2016 ◽  
Author(s):  
Steven G. Adie ◽  
Jeffrey A. Mulligan ◽  
Siyang Liu Liu ◽  
Gavrielle R. Untracht ◽  
Han Tang
Keyword(s):  
Adaptive Optics ◽  
High Throughput ◽  
Optical Coherence ◽  
Optical Coherence Microscopy

scholarly journals 1700 nm optical coherence microscopy enables minimally invasive, label-free, in vivo optical biopsy deep in the mouse brain

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Jun Zhu ◽  
Hercules Rezende Freitas ◽  
Izumi Maezawa ◽  
Lee-way Jin ◽  
Vivek J. Srinivasan
Keyword(s):  
Minimally Invasive ◽  
Mouse Brain ◽  
Numerical Aperture ◽  
Optical Biopsy ◽  
Optical Coherence ◽  
Label Free ◽  
Optical Coherence Microscopy ◽  
Minimal Invasiveness ◽  
Cortical Regions

AbstractIn vivo, minimally invasive microscopy in deep cortical and sub-cortical regions of the mouse brain has been challenging. To address this challenge, we present an in vivo high numerical aperture optical coherence microscopy (OCM) approach that fully utilizes the water absorption window around 1700 nm, where ballistic attenuation in the brain is minimized. Key issues, including detector noise, excess light source noise, chromatic dispersion, and the resolution-speckle tradeoff, are analyzed and optimized. Imaging through a thinned-skull preparation that preserves intracranial space, we present volumetric imaging of cytoarchitecture and myeloarchitecture across the entire depth of the mouse neocortex, and some sub-cortical regions. In an Alzheimer’s disease model, we report that findings in superficial and deep cortical layers diverge, highlighting the importance of deep optical biopsy. Compared to other microscopic techniques, our 1700 nm OCM approach achieves a unique combination of intrinsic contrast, minimal invasiveness, and high resolution for deep brain imaging.

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