Depth-section imaging of swine kidney by spectrally encoded microscopy

Jiuling Liao; Wanrong Gao

doi:10.1117/12.2247305

31 October 2016 Depth-section imaging of swine kidney by spectrally encoded microscopy

Jiuling Liao, Wanrong Gao

Proceedings Volume 10024, Optics in Health Care and Biomedical Optics VII; 100244Q (2016) https://doi.org/10.1117/12.2247305
Event: SPIE/COS Photonics Asia, 2016, Beijing, China

Abstract

The kidneys are essential regulatory organs whose main function is to regulate the balance of electrolytes in the blood, along with maintaining pH homeostasis. The study of the microscopic structure of the kidney will help identify kidney diseases associated with specific renal histology change. Spectrally encoded microscopy (SEM) is a new reflectance microscopic imaging technique in which a grating is used to illuminate different positions along a line on the sample with different wavelengths, reducing the size of system and imaging time. In this paper, a SEM device is described which is based on a super luminescent diode source and a home-built spectrometer. The lateral resolution was measured by imaging the USAF resolution target. The axial response curve was obtained as a reflect mirror was scanned through the focal plane axially. In order to test the feasibility of using SEM for depth-section imaging of an excised swine kidney tissue, the images of the samples were acquired by scanning the sample at 10 μm per step along the depth direction. Architectural features of the kidney tissue could be clearly visualized in the SEM images, including glomeruli and blood vessels. Results from this study suggest that SEM may be useful for locating regions with probabilities of kidney disease or cancer.

Citation Download Citation

Jiuling Liao and Wanrong Gao "Depth-section imaging of swine kidney by spectrally encoded microscopy", Proc. SPIE 10024, Optics in Health Care and Biomedical Optics VII, 100244Q (31 October 2016); https://doi.org/10.1117/12.2247305

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KEYWORDS

Kidney

Scanning electron microscopy

Tissues

Imaging systems

Microscopy

Image resolution

Objectives

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