Paper
14 February 2020 Deep-ultraviolet microscopy for label-free hematological analysis
Author Affiliations +
Abstract
Clinical hematological practice often relies on analysis of the peripheral blood based on microscopic evaluation of blood smears and complete blood count (CBC). Accurate examination of blood cell abnormalities using such methods necessitates complex, time-consuming, and expensive sample preparation as well as instruments which require a many reagents and intensive maintenance. Further, hematology analysis is performed at healthcare centers by trained personnel which significantly limits monitoring frequency for patients with severe conditions and can compromise the treatment outcome. Therefore, a portable, easy-to-use, and inexpensive hematology analysis device can potentially improve quality of life for patients with blood diseases and allow point-of-care monitoring and diagnosis. In this work, we demonstrate label-free blood cell assessment based on deep-ultraviolet (UV) microscopy. Our approach provides quantitative endogenous molecular information from live cells and enables assessment and differentiation of blood cell types based on their molecular and structural signatures. We show the ability of our method by performing classification of polymorphonuclear leukocyte (PMNL) subtypes based on features extracted from deep-UV images. In addition, we demonstrate a pseudo-colorization scheme which accurately mimics the colors produced by standard Giemsa staining and enable visual examination of blood smears. The results of our work paves the way for development of a low-cost and easy-to-use hematological analysis device that can be used for point-of-care applications.
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Ashkan Ojaghi and Francisco E. Robles "Deep-ultraviolet microscopy for label-free hematological analysis", Proc. SPIE 11247, Optical Diagnostics and Sensing XX: Toward Point-of-Care Diagnostics, 112470B (14 February 2020); https://doi.org/10.1117/12.2544999
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KEYWORDS
Blood

Deep ultraviolet

Ultraviolet radiation

Microscopy

Point-of-care devices

Hematology

Proteins

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