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Fig. 4 | Journal of Biological Engineering

Fig. 4

From: Tools to reverse-engineer multicellular systems: case studies using the fruit fly

Fig. 4

Data-driven learning accelerates the quantitative analysis in systems bioengineering. a The literature on cell image analysis shows an exponentially increasing interest in cell segmentation and the emergence of new approaches for this purpose. In total, 250 journal papers describing cell segmentation methods were analyzed in [198]. b) Upper panel shows automated extraction of trichrome densities for Drosophila wings using an open source package, FijiWings. Lower panel shows heat map of intervein area and trichrome densities for the whole wing blade using the same software. Figure modified with permission from [199]. c Schematic shows how the neural net architecture can be used for modelling many–one interactions between genetic perturbations and development. Figure modified with permission from [200]. d A comparison of segmentation methods demonstrates that convolutional neural network performs better than Ilastik (based on random forest) for segmentation of phase contrast images of HeLa cells. Figure modified with permission from [200]. e Schematic showing use of convolutional neural networks for the purpose of image registration. Figure modified with permission from [163]

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