Deep learning based lens free shadow imaging platform (Cellytics)
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 채영훈 | - |
dc.contributor.author | 서동민 | - |
dc.contributor.author | 양해창 | - |
dc.contributor.author | 명승민 | - |
dc.contributor.author | 오상우 | - |
dc.contributor.author | 이문진 | - |
dc.contributor.author | 서성규 | - |
dc.contributor.author | 신상훈 | - |
dc.date.accessioned | 2021-12-08T07:41:31Z | - |
dc.date.available | 2021-12-08T07:41:31Z | - |
dc.date.issued | 20210729 | - |
dc.identifier.uri | https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/2138 | - |
dc.description.abstract | We developed a deep learning based LSIT decision algorithm on the Alexnet model, a convolutional neural network, and applied to the Grad-CAM, a visual explanation algorithm via gradient-based localization (Fig. 1). And we also developed LSIT platform (Cellytics) along with dedicated cell chip, enabling automatic collection of shadow images of various micro particles and cells (Fig. 2). Shadow images of different sizes of polystyrene micro-beads (5, 10, and 20 um) and human leukocytes (CD4, CD8) were recorded with Cellytics and set to test the decision algorithm. | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.title | Deep learning based lens free shadow imaging platform (Cellytics) | - |
dc.title.alternative | Deep learning based lens free shadow imaging platform (Cellytics) | - |
dc.type | Conference | - |
dc.citation.title | BIOSENSORS 2021 | - |
dc.citation.startPage | 116 | - |
dc.citation.endPage | 116 | - |
dc.citation.conferenceName | BIOSENSORS 2021 | - |
dc.citation.conferencePlace | 네덜란드 | - |
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