Full metadata record
DC Field | Value | Language |
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dc.contributor.author | 김명희 | * |
dc.date.accessioned | 2016-08-28T11:08:38Z | - |
dc.date.available | 2016-08-28T11:08:38Z | - |
dc.date.issued | 2012 | * |
dc.identifier.isbn | 9780819489661 | * |
dc.identifier.issn | 1605-7422 | * |
dc.identifier.other | OAK-13734 | * |
dc.identifier.uri | https://dspace.ewha.ac.kr/handle/2015.oak/229687 | - |
dc.description.abstract | Tumor cell morphology is closely related to its invasiveness characteristics and migratory behaviors. An invasive tumor cell has a highly irregular shape, whereas a spherical cell is non-metastatic. Thus, quantitative analysis of cell features is crucial to determine tumor malignancy or to test the efficacy of anticancer treatment. We use phase-contrast microscopy to analyze single cell morphology and to monitor its change because it enables observation of long-term activity of living cells without photobleaching and phototoxicity, which is common in other fluorescence-labeled microscopy. Despite this advantage, there are image-level drawbacks to phase-contrast microscopy, such as local light effect and contrast interference ring, among others. Thus, we first applied a local filter to compensate for non-uniform illumination. Then, we used intensity distribution information to detect the cell boundary. In phase-contrast microscopy images, the cell normally appears as a dark region surrounded by a bright halo. As the halo artifact around the cell body is minimal and has an asymmetric diffusion pattern, we calculated the cross-sectional plane that intersected the center of each cell and was orthogonal to the first principal axis. Then, we extracted the dark cell region by level set. However, a dense population of cultured cells still rendered single-cell analysis difficult. Finally, we measured roundness and size to classify tumor cells into malignant and benign groups. We validated segmentation accuracy by comparing our findings with manually obtained results. © 2012 SPIE. | * |
dc.description.sponsorship | The Society of Photo-Optical Instrumentation Engineers (SPIE);Agilent Technologies;Diamond SA;DQE Instruments, Inc.;eMagin | * |
dc.language | English | * |
dc.title | Quantitative tracking of tumor cells in phase-contrast microscopy exploiting halo artifact pattern | * |
dc.type | Conference Paper | * |
dc.relation.volume | 8317 | * |
dc.relation.index | SCOPUS | * |
dc.relation.journaltitle | Progress in Biomedical Optics and Imaging - Proceedings of SPIE | * |
dc.identifier.doi | 10.1117/12.911683 | * |
dc.identifier.scopusid | 2-s2.0-84860746225 | * |
dc.author.google | Kang M.-S. | * |
dc.author.google | Song S.-M. | * |
dc.author.google | Lee H. | * |
dc.author.google | Kim M.-H. | * |
dc.contributor.scopusid | 김명희(34770838100) | * |
dc.date.modifydate | 20240322133114 | * |