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정웅규

Jung, Woonggyu
Translational Biophotonics Lab.
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dc.citation.conferencePlace US -
dc.citation.title SPIE Photonics West 2022 -
dc.contributor.author Aimakov, Nurbolat -
dc.contributor.author Park, Inwoo -
dc.contributor.author Yang, Hyunmo -
dc.contributor.author Lee, Sangjin -
dc.contributor.author Choi, Myunghoon -
dc.contributor.author Askaruly, Sanzhar -
dc.contributor.author Bae, Jung Kweon -
dc.contributor.author Jung, Woonggyu -
dc.date.accessioned 2024-01-31T21:05:56Z -
dc.date.available 2024-01-31T21:05:56Z -
dc.date.created 2022-01-26 -
dc.date.issued 2022-01-23 -
dc.description.abstract Here, we propose a portable, multimodal, fully-automated digital histopathology platform based on quantitative phase imaging (QPI) and artificial intelligence (AI). Our system clearly visualized cells and tissues of histology slides without labeling at various magnifications up to 40x. It was also built as small form factor and operated by wireless control of the custom-built Android application considered mobility and user-interface. Moreover, our system equipped AI guidance which converted quantitative phase images to conventional H&E stained brightfield images with high accuracy. With validation tests on several tissues, we confirmed that our device has competitive performance over traditional methods in histopathologic works. -
dc.identifier.bibliographicCitation SPIE Photonics West 2022 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/76393 -
dc.publisher The international society for optics and photonics (SPIE) -
dc.title The development of digital histopathology platform using quantitative phase imaging and artificial intelligence -
dc.type Conference Paper -
dc.date.conferenceDate 2022-01-22 -

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