Abstract: Cell migration, formation of cellular protrusions (e.g. blebs, filopodia), and structural reorganization are important phenomena in cell biology. Precise quantifications of movement/deformation are crucial to understand these processe at different levels of organization. We apply computer vision methods for combined optical flow (OF) and mutiā€scale (MS) motion estimation of membrane translations, end growing and protrusion formation in fluorescence microscopy images. For these cases we bound OF error and optimal sampling rate, in order to guide biologists on their experimental conditions. We also show the advantages of OF methods compared with manual segmentation and tracking.

Authors: M. Cerda, J. Jara, A. Córdova, J. Toledo, E. Pulgar, C-G Lemus, O. Ramírez, J. Ralli, M. Concha, and Steffen Härtel

 

Typically optical flow is used in areas like video motion compensation, movement detection of objects (such as people, cars and so no), but the researcherers at the SCIAN Lab have shown that optical flow can be successfully used with fluorescence microscopy images. This work was presented at Chilean Society for Cell Biology XXVI Annual Meeting 2012, and is part of on-going research at the SCIAN Lab. Nice going Mauricio, Jorge and the rest!!!

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Jarno Ralli
Author: Jarno Ralli
Jarno Ralli is a computer vision scientist and a programmer.

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