scholarly journals Numerically focused optical coherence microscopy with structured illumination aperture

2018 ◽  
Vol 42 (2) ◽  
pp. 248-253 ◽  
Author(s):  
A. A. Grebenyuk ◽  
V. P. Ryabukho

Abstract In optical coherence microscopy (OCM) with a given numerical aperture (NA) of the objectives the transverse resolution can be increased by increasing the numerical aperture of illumination (NAi). However, this may also lead to attenuation of the signal with defocus preventing the effective numerically focused 3D imaging of the required sample volume. This paper presents an approach to structuring the illumination aperture, which allows combining the advantages of increased transverse resolution (peculiar to high NAi) with small attenuation of the signal with defocus (peculiar to low NAi) for high-resolution numerically focused 3D imaging in OCM.

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.


Author(s):  
Patrice Tankam ◽  
Zhiguo He ◽  
Gilles Thuret ◽  
Holly B. Hindman ◽  
Thierry Lepine ◽  
...  

2015 ◽  
Vol 105 (3) ◽  
pp. 481-488 ◽  
Author(s):  
Akiyuki Hasegawa ◽  
Yuji Haraguchi ◽  
Hirotoshi Oikaze ◽  
Yasuhiro Kabetani ◽  
Katsuhisa Sakaguchi ◽  
...  

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