optical coherence microscopy
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2021 ◽  
Author(s):  
Yoshiaki Yasuno ◽  
Ibrahim Abd El-Sadek ◽  
Arata Miyazawa ◽  
Larina Tzu-Wei Shen ◽  
Thitiya Seesan ◽  
...  

2021 ◽  
Author(s):  
Aaron Doug Deen ◽  
Tom Pfeiffer ◽  
Heleen van Beusekom ◽  
Jeroen Essers ◽  
Antonius F. W. van der Steen ◽  
...  

2021 ◽  
Vol 2015 (1) ◽  
pp. 012143
Author(s):  
Maxim A. Sirotin ◽  
Evgeny V. Lyubin ◽  
Kirill R. Safronov ◽  
Daniil V. Akhremenkov ◽  
Vladimir O. Bessonov ◽  
...  

Abstract We report on the development of a new approach for studying the internal structure of polymer integrated nanophotonics devices using phase-sensitive optical coherence microscopy. Visualization and flaw detection of devices and their internal structure was carried out using the example of coupling gratings and prisms for a miniature Otto configuration with a characteristic gap height of 50-300 nm.


2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Jun Zhu ◽  
Hercules Rezende Freitas ◽  
Izumi Maezawa ◽  
Lee-way Jin ◽  
Vivek J. Srinivasan

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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