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Using digital inpainting to estimate incident light intensity for the calculation of red blood cell oxygen saturation from microscopy images
Author(s) -
Sové Richard J.,
Drakos Nicole E.,
Fraser Graham M.,
Ellis Christopher G.
Publication year - 2018
Publication title -
journal of biophotonics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.877
H-Index - 66
eISSN - 1864-0648
pISSN - 1864-063X
DOI - 10.1002/jbio.201800103
Subject(s) - intensity (physics) , inpainting , saturation (graph theory) , oxygen saturation , light intensity , optics , hematocrit , microscopy , materials science , chemistry , oxygen , physics , mathematics , computer science , artificial intelligence , image (mathematics) , medicine , organic chemistry , combinatorics , endocrinology
Red blood cell oxygen saturation (SO 2 ) is an important indicator of oxygen supply to tissues in the body. SO 2 can be measured by taking advantage of spectroscopic properties of hemoglobin. When this technique is applied to transmission microscopy, the calculation of saturation requires determination of incident light intensity at each pixel occupied by the red blood cell; this value is often approximated from a sequence of images as the maximum intensity over time. This method often fails when the red blood cells are moving too slowly, or if hematocrit is too large since there is not a large enough gap between the cells to accurately calculate the incident intensity value. A new method of approximating incident light intensity is proposed using digital inpainting. This novel approach estimates incident light intensity with an average percent error of approximately 3%, which exceeds the accuracy of the maximum intensity‐based method in most cases. The error in incident light intensity corresponds to a maximum error of approximately 2% saturation. Therefore, though this new method is computationally more demanding than the traditional technique, it can be used in cases where the maximum intensity‐based method fails (eg, stationary cells), or when higher accuracy is required.

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