Abstract
In this Plenary address paper, we overview recently published work for automated cell identification using 3D optical imaging in compact and field portable biophotonic sensors. Digital holographic microscopy systems and lensless pseudorandom phase encoding systems capture 3D information of biological cells and make highly accurate automated cell identification possible. Overviewed systems include sickle cell disease diagnosis based on spatio-temporal cell dynamics in a field-portable 3D-printed shearing digital holography as well as lensless cell identification of both single and multicell samples using pseudorandom phase encoding.
Original language | English GB |
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Pages | 15-18 |
Number of pages | 4 |
DOIs | |
State | Published - 1 Jan 2021 |
Event | International Conference on Optics and Electro-optics, ICOL 2019 - Dehradun, India Duration: 19 Oct 2019 → 22 Oct 2019 |
Conference
Conference | International Conference on Optics and Electro-optics, ICOL 2019 |
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Country/Territory | India |
City | Dehradun |
Period | 19/10/19 → 22/10/19 |
Keywords
- 3D imaging
- Digital holography
- Medical and biological imaging
- Three-dimensional microscopy
ASJC Scopus subject areas
- Physics and Astronomy (all)