Informace o projektu
Development and Study of Methods for Live Cell Quantification
(Live Cell Quantification)
- Kód projektu
- GA14-22461S
- Období řešení
- 1/2014 - 12/2016
- Investor / Programový rámec / typ projektu
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Grantová agentura ČR
- Standardní projekty
- Fakulta / Pracoviště MU
- Fakulta informatiky
Studies of living cells and their interactions are indispensable to research in life sciences. Nowadays, most data in these studies are acquired using fully automated optical microscopes producing massive datasets. Consequently, there is a strong need for automatic computerized image analysis. This requires good understanding of the performance and parameter sensitivity of involved methods over various image qualities, even in non-ideal conditions. We want to simulate inter- and intracellular dynamic processes on computers in order to create realistic time-lapse synthetic images of living cells and complex cellular networks, and use these images for studying the performance, limits, and parameter sensitivity of existing as well as newly developed image processing methods. We also want to study the impact of image processing on quantitative measures. The results achieved from the computer simulations will be compared to the results obtained based on real images. This project will contribute to understanding and development of methods for live cell quantification.
Publikace
Počet publikací: 9
2017
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MitoGen: A Framework for Generating 3D Synthetic Time-Lapse Sequences of Cell Populations in Fluorescence Microscopy
IEEE Transactions on Medical Imaging, rok: 2017, ročník: 36, vydání: 1, DOI
2016
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Texture Analysis of 3D Fluorescence Microscopy Images Using RSurf 3D Features
International Symposium on Biomedical Imaging (ISBI'16), rok: 2016
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Vascular Network Formation in Silico Using the Extended Cellular Potts Model
2016 IEEE International Conference on Image Processing, rok: 2016
2015
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2D/3D Gabor Features and 2D/3D MPEG-7 EHD Features
Rok: 2015
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Cell tracking accuracy measurement based on comparison of acyclic oriented graphs
PLoS ONE, rok: 2015, ročník: 10, vydání: 12, DOI
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On Proper Simulation of Chromatin Structure in Static Images As Well As in Time-Lapse Sequences in Fluorescence Microscopy
Proceedings of 2015 IEEE International Symposium on Biomedical Imaging, rok: 2015
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TRAgen: A Tool for Generation of Synthetic Time-Lapse Image Sequences of Living Cells
Proceedings of 18th International Conference on Image Analysis and Processing, rok: 2015
2014
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On Proper Simulation of Phenomena Influencing Image Formation in Fluorescence Microscopy
2014 IEEE International Conference on Image Processing, rok: 2014
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Texture Analysis Using 3D Gabor Features and 3D MPEG-7 Edge Histogram Descriptor in Fluorescence Microscopy
4th International Conference on 3D Imaging (IC3D), rok: 2014