Monitoring hair follicle development is important to interpret hair pathophysiology and follicular-related diseases such as alopecia, folliculitis, acne, and keratosis pilaris. We introduce label-free visualization of hair follicles based on optical coherence microscopy (OCM) and quantitative analysis of the structure using OCM imaging data. The hair follicle regeneration of mice was monitored using our home-built serial OCM. Through this process, we obtained the volumetric anatomy and functional feature of the hair follicle. We also quantified the hair follicle structure including hair root, bulb, papilla, and follicle wall based on OCM data. Our result provides insight into the hair cycle investigation.
To collect the volumetric image of the spinal cord using optical coherence tomography, the traditional way is to successively repeat the process of cutting the sample and imaging the revealed part. This common method is quite lengthy and laborious. Here, we designed circular scanning optical coherence tomography that has a customized ring-shaped silver-coated mirror reflecting incoming light in a circular pattern around the spinal cord. The sample is carried through that mirror by the linear stage during image acquisition. The results suggest that our system is suitable for the study of the spinal cord as well as applicable to other bigger samples when adapting clearing methods.
Surgical microscopes provide clear visualization of the tissue and have been increasingly used in operating rooms. Going further from this, we developed optical coherence tomography (OCT), and optical coherence microscopy (OCM) integrated surgical microscope to offer superficial and sub-surface tissue information simultaneously. With the use of an optical switch, OCT and OCM view can be freely converted. After surgical resection of cancer with the guidance of OCT, we performed high-resolution whole cancer imaging with OCM for margin detection. Our proposed system can be a promising tool for intraoperative applications and increase the accuracy of the operation.
we introduce automated serial OCM toward statistical 3D digital histopathology. Our research is the extension of previous work in order to enhance the process of imaging acquisition. Our approach has three unique features, (1) surface tracking, (2) single body and automated system combined vibratome and microscopic imaging head, and (3) selection of magnification. In validation test, various mouse organs were imaged and quantified at the region of interest which presented less labor and shorten image acquisition time compared to previous works.
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