Faz-Kontrast Mikroskopi Goruntu Serilerinden Hucre Hareketliligi Analizi On-Calismasi

Emre Kayan; Tarik Kavusan; Sevgi Önal; Devrim P. Okvur; Özden Y. Özuysal; Behçet Ugur Töreyin; Devrim Ünay

doi:10.1109/TIPTEKNO50054.2020.9299319

Faz-Kontrast Mikroskopi Goruntu Serilerinden Hucre Hareketliligi Analizi On-Calismasi

Emre Kayan
, Tarik Kavusan
, Sevgi Önal
, Devrim P. Okvur
, Özden Y. Özuysal
, Behçet Ugur Töreyin
, Devrim Ünay

Bilişim Enstitüsü

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

1 Atıf (Scopus)

Özet

Analyses of morphology, polarity, and motility of cells is important for cell biology research such as metastatic and invasive capacity of cells, wound healing, and embryonic development. Automation of such analyses using image series of phase-contrast optical microscopy, which allows label-free imaging of live cells in their living environment, is a need. With this purpose, in this study image series of a cell motility experiment is manually annotated, and an automation algorithm realizing motion and shape analyses of cells using the annotated data is developed. In addition, due to the low number of annotated data at hand, a U-Net based solution is devised for automated segmentation of the cells and its performance is evaluated.

Tercüme edilen katkı başlığı	A Preliminary Study on Cell Motility Analysis from Phase-Contrast Microscopy Image Series
Orijinal dil	Türkçe
Ana bilgisayar yayını başlığı	TIPTEKNO 2020 - Tip Teknolojileri Kongresi - 2020 Medical Technologies Congress, TIPTEKNO 2020
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9781728180731
DOI'lar	https://doi.org/10.1109/TIPTEKNO50054.2020.9299319
Yayın durumu	Yayınlandı - 19 Kas 2020
Etkinlik	2020 Medical Technologies Congress, TIPTEKNO 2020 - Antalya, Turkey Süre: 19 Kas 2020 → 20 Kas 2020

Yayın serisi

Adı	TIPTEKNO 2020 - Tip Teknolojileri Kongresi - 2020 Medical Technologies Congress, TIPTEKNO 2020

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	2020 Medical Technologies Congress, TIPTEKNO 2020
Ülke/Bölge	Turkey
Şehir	Antalya
Periyot	19/11/20 → 20/11/20

Bibliyografik not

Publisher Copyright:
© 2020 IEEE.

Keywords

cell motility
deep learning
image processing
phase-contrast optical microscopy

Belgeye Erişim

10.1109/TIPTEKNO50054.2020.9299319

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Kayan, E., Kavusan, T., Önal, S., Okvur, D. P., Özuysal, Ö. Y., Töreyin, B. U., & Ünay, D. (2020). Faz-Kontrast Mikroskopi Goruntu Serilerinden Hucre Hareketliligi Analizi On-Calismasi. In TIPTEKNO 2020 - Tip Teknolojileri Kongresi - 2020 Medical Technologies Congress, TIPTEKNO 2020 Makale 9299319 (TIPTEKNO 2020 - Tip Teknolojileri Kongresi - 2020 Medical Technologies Congress, TIPTEKNO 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TIPTEKNO50054.2020.9299319

Kayan, Emre ; Kavusan, Tarik ; Önal, Sevgi et al. / Faz-Kontrast Mikroskopi Goruntu Serilerinden Hucre Hareketliligi Analizi On-Calismasi. TIPTEKNO 2020 - Tip Teknolojileri Kongresi - 2020 Medical Technologies Congress, TIPTEKNO 2020. Institute of Electrical and Electronics Engineers Inc., 2020. (TIPTEKNO 2020 - Tip Teknolojileri Kongresi - 2020 Medical Technologies Congress, TIPTEKNO 2020).

@inproceedings{9b086e7977994a6199a01dd5cc16aa47,

title = "Faz-Kontrast Mikroskopi Goruntu Serilerinden Hucre Hareketliligi Analizi On-Calismasi",

abstract = "Analyses of morphology, polarity, and motility of cells is important for cell biology research such as metastatic and invasive capacity of cells, wound healing, and embryonic development. Automation of such analyses using image series of phase-contrast optical microscopy, which allows label-free imaging of live cells in their living environment, is a need. With this purpose, in this study image series of a cell motility experiment is manually annotated, and an automation algorithm realizing motion and shape analyses of cells using the annotated data is developed. In addition, due to the low number of annotated data at hand, a U-Net based solution is devised for automated segmentation of the cells and its performance is evaluated.",

keywords = "cell motility, deep learning, image processing, phase-contrast optical microscopy",

author = "Emre Kayan and Tarik Kavusan and Sevgi {\"O}nal and Okvur, \{Devrim P.\} and {\"O}zuysal, \{{\"O}zden Y.\} and T{\"o}reyin, \{Beh{\c c}et Ugur\} and Devrim {\"U}nay",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 Medical Technologies Congress, TIPTEKNO 2020 ; Conference date: 19-11-2020 Through 20-11-2020",

year = "2020",

month = nov,

day = "19",

doi = "10.1109/TIPTEKNO50054.2020.9299319",

language = "T{\"u}rk{\c c}e",

series = "TIPTEKNO 2020 - Tip Teknolojileri Kongresi - 2020 Medical Technologies Congress, TIPTEKNO 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "TIPTEKNO 2020 - Tip Teknolojileri Kongresi - 2020 Medical Technologies Congress, TIPTEKNO 2020",

address = "United States",

}

Kayan, E, Kavusan, T, Önal, S, Okvur, DP, Özuysal, ÖY, Töreyin, BU & Ünay, D 2020, Faz-Kontrast Mikroskopi Goruntu Serilerinden Hucre Hareketliligi Analizi On-Calismasi. in TIPTEKNO 2020 - Tip Teknolojileri Kongresi - 2020 Medical Technologies Congress, TIPTEKNO 2020., 9299319, TIPTEKNO 2020 - Tip Teknolojileri Kongresi - 2020 Medical Technologies Congress, TIPTEKNO 2020, Institute of Electrical and Electronics Engineers Inc., 2020 Medical Technologies Congress, TIPTEKNO 2020, Antalya, Turkey, 19/11/20. https://doi.org/10.1109/TIPTEKNO50054.2020.9299319

Faz-Kontrast Mikroskopi Goruntu Serilerinden Hucre Hareketliligi Analizi On-Calismasi. / Kayan, Emre; Kavusan, Tarik; Önal, Sevgi et al.
TIPTEKNO 2020 - Tip Teknolojileri Kongresi - 2020 Medical Technologies Congress, TIPTEKNO 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9299319 (TIPTEKNO 2020 - Tip Teknolojileri Kongresi - 2020 Medical Technologies Congress, TIPTEKNO 2020).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Faz-Kontrast Mikroskopi Goruntu Serilerinden Hucre Hareketliligi Analizi On-Calismasi

AU - Kayan, Emre

AU - Kavusan, Tarik

AU - Önal, Sevgi

AU - Okvur, Devrim P.

AU - Özuysal, Özden Y.

AU - Töreyin, Behçet Ugur

AU - Ünay, Devrim

PY - 2020/11/19

Y1 - 2020/11/19

N2 - Analyses of morphology, polarity, and motility of cells is important for cell biology research such as metastatic and invasive capacity of cells, wound healing, and embryonic development. Automation of such analyses using image series of phase-contrast optical microscopy, which allows label-free imaging of live cells in their living environment, is a need. With this purpose, in this study image series of a cell motility experiment is manually annotated, and an automation algorithm realizing motion and shape analyses of cells using the annotated data is developed. In addition, due to the low number of annotated data at hand, a U-Net based solution is devised for automated segmentation of the cells and its performance is evaluated.

AB - Analyses of morphology, polarity, and motility of cells is important for cell biology research such as metastatic and invasive capacity of cells, wound healing, and embryonic development. Automation of such analyses using image series of phase-contrast optical microscopy, which allows label-free imaging of live cells in their living environment, is a need. With this purpose, in this study image series of a cell motility experiment is manually annotated, and an automation algorithm realizing motion and shape analyses of cells using the annotated data is developed. In addition, due to the low number of annotated data at hand, a U-Net based solution is devised for automated segmentation of the cells and its performance is evaluated.

KW - cell motility

KW - deep learning

KW - image processing

KW - phase-contrast optical microscopy

UR - https://www.scopus.com/pages/publications/85099471929

U2 - 10.1109/TIPTEKNO50054.2020.9299319

DO - 10.1109/TIPTEKNO50054.2020.9299319

M3 - Konferans katkısı

AN - SCOPUS:85099471929

T3 - TIPTEKNO 2020 - Tip Teknolojileri Kongresi - 2020 Medical Technologies Congress, TIPTEKNO 2020

BT - TIPTEKNO 2020 - Tip Teknolojileri Kongresi - 2020 Medical Technologies Congress, TIPTEKNO 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 Medical Technologies Congress, TIPTEKNO 2020

Y2 - 19 November 2020 through 20 November 2020

ER -

Kayan E, Kavusan T, Önal S, Okvur DP, Özuysal ÖY, Töreyin BU et al. Faz-Kontrast Mikroskopi Goruntu Serilerinden Hucre Hareketliligi Analizi On-Calismasi. In TIPTEKNO 2020 - Tip Teknolojileri Kongresi - 2020 Medical Technologies Congress, TIPTEKNO 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9299319. (TIPTEKNO 2020 - Tip Teknolojileri Kongresi - 2020 Medical Technologies Congress, TIPTEKNO 2020). doi: 10.1109/TIPTEKNO50054.2020.9299319

Faz-Kontrast Mikroskopi Goruntu Serilerinden Hucre Hareketliligi Analizi On-Calismasi

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Keywords

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap