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dc.contributor.author Javidi, Bahram -
dc.contributor.author O’Connor, Timothy -
dc.contributor.author Anand, Arun -
dc.contributor.author Moon, Inkyu -
dc.contributor.author Stern, Adrian -
dc.contributor.author Martinez-Corral, Manuel -
dc.date.accessioned 2023-12-26T18:43:13Z -
dc.date.available 2023-12-26T18:43:13Z -
dc.date.created 2021-04-15 -
dc.date.issued 2021-10-19 -
dc.identifier.isbn 9789811592584 -
dc.identifier.issn 0930-8989 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/46893 -
dc.description.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. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
dc.language English -
dc.publisher Springer Science and Business Media Deutschland GmbH -
dc.title Compact and Field Portable Biophotonic Sensors for Automated Cell Identification (Plenary Address) -
dc.type Conference Paper -
dc.identifier.doi 10.1007/978-981-15-9259-1_4 -
dc.identifier.scopusid 2-s2.0-85103298705 -
dc.identifier.bibliographicCitation International Conference on Optics and Electro-optics, ICOL 2019, pp.15 - 18 -
dc.citation.conferencePlace II -
dc.citation.conferencePlace Dehradun -
dc.citation.endPage 18 -
dc.citation.startPage 15 -
dc.citation.title International Conference on Optics and Electro-optics, ICOL 2019 -
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Department of Robotics and Mechatronics Engineering Intelligent Imaging and Vision Systems Laboratory 2. Conference Papers

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