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iCellFusion: Tool for Fusion and Analysis of Live-Cell Images from Time-Lapse Multimodal Microscopy

iCellFusion: Tool for Fusion and Analysis of Live-Cell Images from Time-Lapse Multimodal Microscopy

João Santinha, Leonardo Martins, Antti Häkkinen, Jason Lloyd-Price, Samuel M. D. Oliveira, Abhishekh Gupta, Teppo Annila, Andre Mora, Andre S. Ribeiro, Jose Ribeiro Fonseca
Copyright: © 2016 |Pages: 29
ISBN13: 9781466688117|ISBN10: 1466688114|EISBN13: 9781466688124
DOI: 10.4018/978-1-4666-8811-7.ch004
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MLA

Santinha, João, et al. "iCellFusion: Tool for Fusion and Analysis of Live-Cell Images from Time-Lapse Multimodal Microscopy." Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes, edited by Wahiba Ben Abdessalem Karâa and Nilanjan Dey, IGI Global, 2016, pp. 71-99. https://doi.org/10.4018/978-1-4666-8811-7.ch004

APA

Santinha, J., Martins, L., Häkkinen, A., Lloyd-Price, J., Oliveira, S. M., Gupta, A., Annila, T., Mora, A., Ribeiro, A. S., & Fonseca, J. R. (2016). iCellFusion: Tool for Fusion and Analysis of Live-Cell Images from Time-Lapse Multimodal Microscopy. In W. Karâa & N. Dey (Eds.), Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes (pp. 71-99). IGI Global. https://doi.org/10.4018/978-1-4666-8811-7.ch004

Chicago

Santinha, João, et al. "iCellFusion: Tool for Fusion and Analysis of Live-Cell Images from Time-Lapse Multimodal Microscopy." In Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes, edited by Wahiba Ben Abdessalem Karâa and Nilanjan Dey, 71-99. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-4666-8811-7.ch004

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Abstract

Temporal, multimodal microscopy imaging of live cells is becoming widely used in studies of cellular processes. In general, temporal sequences of images with functional and morphological data from live cells are acquired using multiple image sensors. The images from the different sources usually differ in resolution and have non-coincident fields of view, making the merging process complex. We present a new tool – iCellFusion – that performs data fusion of images from Phase-Contrast Microscopy and Fluorescence Microscopy in order to correlate the information on cell morphology, lineage and functionality. Prior to image fusion, iCellFusion performs automatic or computer-aided cell segmentation and establishes cell lineages. We exemplify its usage on time-lapse, multimodal microscopy images of bacteria producing fluorescent spots. We expect iCellFusion to assist research in Cell and Molecular Biology and the healthcare sector, where live-cell imaging is an increasingly important technique to detect and study diseases at the cellular level.

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