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5 October 2016 Toward laboratory blood test-comparable photometric assessments for anemia in veterinary hematology
Taehoon Kim, Seung Ho Choi, Nathan Lambert-Cheatham, Zhengbin Xu, Janice E. Kritchevsky, Francois-René Bertin, Young L. Kim
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Journal of Biomedical Optics, Vol. 21, Issue 10, 107001 (October 2016). https://doi.org/10.1117/1.JBO.21.10.107001
Abstract
Anemia associated with intestinal parasites and malnutrition is the leading cause of morbidity and mortality in small ruminants worldwide. Qualitative scoring of conjunctival redness has been developed so that farmers can gauge anemia in sheep and goats to identify animals that require treatment. For clinically relevant anemia diagnosis, complete blood count-comparable quantitative methods often rely on complicated and expensive optical instruments, requiring detailed spectral information of hemoglobin. We report experimental and numerical results for simple, yet reliable, noninvasive hemoglobin detection that can be correlated with laboratory-based blood hemoglobin testing for anemia diagnosis. In our pilot animal study using calves, we exploit the third eyelid (i.e., palpebral conjunctiva) as an effective sensing site. To further test spectrometer-free (or spectrometerless) hemoglobin assessments, we implement full spectral reconstruction from RGB data and partial least square regression. The unique combination of RGB-based spectral reconstruction and partial least square regression could potentially offer uncomplicated instrumentation and avoid the use of a spectrometer, which is vital for realizing a compact and inexpensive hematology device for quantitative anemia detection in the farm field.
© 2016 Society of Photo-Optical Instrumentation Engineers (SPIE) 1083-3668/2016/$25.00 © 2016 SPIE
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Taehoon Kim, Seung Ho Choi, Nathan Lambert-Cheatham, Zhengbin Xu, Janice E. Kritchevsky, Francois-René Bertin, and Young L. Kim "Toward laboratory blood test-comparable photometric assessments for anemia in veterinary hematology," Journal of Biomedical Optics 21(10), 107001 (5 October 2016). https://doi.org/10.1117/1.JBO.21.10.107001
Published: 5 October 2016
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Cited by 13 scholarly publications.
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KEYWORDS
Blood
RGB color model
Reflectivity
Data modeling
Hematology
Spectroscopy
Tissue optics
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