Details
Originalsprache | Englisch |
---|---|
Titel des Sammelwerks | 2019 IEEE 39th International Conference on Electronics and Nanotechnology (ELNANO) |
Untertitel | Proceedings |
Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
Seiten | 493-496 |
Seitenumfang | 4 |
ISBN (elektronisch) | 978-1-7281-2065-2 |
ISBN (Print) | 978-1-7281-2066-9 |
Publikationsstatus | Veröffentlicht - Apr. 2019 |
Veranstaltung | 39th IEEE International Conference on Electronics and Nanotechnology, ELNANO 2019 - Kyiv, Ukraine Dauer: 16 Apr. 2019 → 18 Apr. 2019 |
Abstract
Ice recrystallization is one of the most well-known processes which involved in long term storage of living cells. In this paper, we propose an image processing steps for ice crystal segmentation using active contours. Based on the described steps we develop related software, which should improve quality of microscopic analysis for better understanding of ice recrystallization process. The developed application has been successfully applied for semi-automated segmentation and analysis of ice crystals during isothermal annealing.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
- Werkstoffwissenschaften (insg.)
- Elektronische, optische und magnetische Materialien
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2019 IEEE 39th International Conference on Electronics and Nanotechnology (ELNANO): Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. S. 493-496 8783332.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Ice Crystals Microscopic Images Segmentation Based on Active Contours
AU - Tymkovych, Maksym
AU - Avrunin, Oleg
AU - Gryshkov, Oleksandr
AU - Semenets, Valerii
AU - Glasmacher, Birgit
N1 - Funding Information: The authors would like to thank the exchange program with East European Countries founded by DAAD (project number 54364768).
PY - 2019/4
Y1 - 2019/4
N2 - Ice recrystallization is one of the most well-known processes which involved in long term storage of living cells. In this paper, we propose an image processing steps for ice crystal segmentation using active contours. Based on the described steps we develop related software, which should improve quality of microscopic analysis for better understanding of ice recrystallization process. The developed application has been successfully applied for semi-automated segmentation and analysis of ice crystals during isothermal annealing.
AB - Ice recrystallization is one of the most well-known processes which involved in long term storage of living cells. In this paper, we propose an image processing steps for ice crystal segmentation using active contours. Based on the described steps we develop related software, which should improve quality of microscopic analysis for better understanding of ice recrystallization process. The developed application has been successfully applied for semi-automated segmentation and analysis of ice crystals during isothermal annealing.
KW - active contour
KW - ice crystal
KW - image processing
KW - microscopy
KW - segmentation
UR - http://www.scopus.com/inward/record.url?scp=85070919176&partnerID=8YFLogxK
U2 - 10.1109/ELNANO.2019.8783332
DO - 10.1109/ELNANO.2019.8783332
M3 - Conference contribution
AN - SCOPUS:85070919176
SN - 978-1-7281-2066-9
SP - 493
EP - 496
BT - 2019 IEEE 39th International Conference on Electronics and Nanotechnology (ELNANO)
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 39th IEEE International Conference on Electronics and Nanotechnology, ELNANO 2019
Y2 - 16 April 2019 through 18 April 2019
ER -