Details

Autor(en) / Beteiligte

• O'Connor, Timothy
• Shen, Jian-Bing
• Liang, Bruce T
• Javidi, Bahram

Titel

Digital holographic deep learning of red blood cells for field-portable, rapid COVID-19 screening

Ist Teil von

• Optics letters, 2021-05, Vol.46 (10), p.2344-2347

Ort / Verlag

United States: Optical Society of America

Erscheinungsjahr

2021

Quelle

OSA Publishing

Beschreibungen/Notizen

• 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.