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Digital holographic deep learning of red blood cells for field-portable, rapid COVID-19 screening.
Opt Lett ; 46(10): 2344-2347, 2021 May 15.
Article in English | MEDLINE | ID: covidwho-1229026
ABSTRACT
Rapid screening of red blood cells for active infection of COVID-19 is presented using a compact and field-portable, 3D-printed shearing digital holographic microscope. Video holograms of thin blood smears are recorded, individual red blood cells are segmented for feature extraction, then a bi-directional long short-term memory network is used to classify between healthy and COVID positive red blood cells based on their spatiotemporal behavior. Individuals are then classified based on the simple majority of their cells' classifications. The proposed system may be beneficial for under-resourced healthcare systems. To the best of our knowledge, this is the first report of digital holographic microscopy for rapid screening of COVID-19.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Holography / Erythrocytes / Deep Learning / COVID-19 Testing / SARS-CoV-2 / COVID-19 Type of study: Diagnostic study Limits: Humans Language: English Journal: Opt Lett Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Holography / Erythrocytes / Deep Learning / COVID-19 Testing / SARS-CoV-2 / COVID-19 Type of study: Diagnostic study Limits: Humans Language: English Journal: Opt Lett Year: 2021 Document Type: Article