dc.citation.conferencePlace |
US |
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dc.citation.title |
SPIE Photonics West 2022 |
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dc.contributor.author |
Aimakov, Nurbolat |
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dc.contributor.author |
Park, Inwoo |
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dc.contributor.author |
Yang, Hyunmo |
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dc.contributor.author |
Lee, Sangjin |
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dc.contributor.author |
Choi, Myunghoon |
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dc.contributor.author |
Askaruly, Sanzhar |
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dc.contributor.author |
Bae, Jung Kweon |
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dc.contributor.author |
Jung, Woonggyu |
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dc.date.accessioned |
2024-01-31T21:05:56Z |
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dc.date.available |
2024-01-31T21:05:56Z |
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dc.date.created |
2022-01-26 |
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dc.date.issued |
2022-01-23 |
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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. |
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dc.identifier.bibliographicCitation |
SPIE Photonics West 2022 |
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dc.identifier.uri |
https://scholarworks.unist.ac.kr/handle/201301/76393 |
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dc.publisher |
The international society for optics and photonics (SPIE) |
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dc.title |
The development of digital histopathology platform using quantitative phase imaging and artificial intelligence |
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dc.type |
Conference Paper |
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dc.date.conferenceDate |
2022-01-22 |
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