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19 April 2017 Imaging mouse cerebellum with serial optical coherence scanner (Conference Presentation)
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Proceedings Volume 10051, Neural Imaging and Sensing; 1005106 (2017) https://doi.org/10.1117/12.2251532
Event: SPIE BiOS, 2017, San Francisco, California, United States
Abstract
We present the serial optical coherence scanner (SOCS), which consists of a polarization sensitive optical coherence tomography and a vibratome with associated controls for serial imaging, to visualize the cerebellum and adjacent brainstem of mouse. The cerebellar cortical layers and white matter are distinguished by using intrinsic optical contrasts. Images from serial scans reveal the large-scale anatomy in detail and map the nerve fiber pathways in the cerebellum and adjacent brainstem. The optical system, which has ~5.5 μm axial resolution, utilizes a scan lens or a water-immersion microscope objective resulting in 10 μm or 4 μm lateral resolution, respectively. The large-scale brain imaging at high resolution requires an efficient way to collect large datasets. It is important to improve the SOCS system to deal with large-scale and large number of samples in a reasonable time. The imaging and slicing procedure for a section took about 4 minutes due to a low speed of the vibratome blade to maintain slicing quality. SOCS has potential to investigate pathological changes and monitor the effects of therapeutic drugs in cerebellar diseases such as spinocerebellar ataxia 1 (SCA1). The SCA1 is a neurodegenerative disease characterized by atrophy and eventual loss of Purkinje cells from the cerebellar cortex, and the optical contrasts provided by SOCS is being evaluated for biomarkers of the disease.
Conference Presentation
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chao J. Liu, Kristen Williams, Harry Orr, and Akkin Taner "Imaging mouse cerebellum with serial optical coherence scanner (Conference Presentation)", Proc. SPIE 10051, Neural Imaging and Sensing, 1005106 (19 April 2017); https://doi.org/10.1117/12.2251532
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