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arXiv · 1511.01168

Cell identification in whole-brain multiview images of neural activation

Marco Paciscopi·Ludovico Silvestri·Francesco Saverio Pavone·Paolo Frasconi
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Abstract

We present a scalable method for brain cell identification in multiview confocal light sheet microscopy images. Our algorithmic pipeline includes a hierarchical registration approach and a novel multiview version of semantic deconvolution that simultaneously enhance visibility of fluorescent cell bodies, equalize their contrast, and fuses adjacent views into a single 3D images on which cell identification is performed with mean shift. We present empirical results on a whole-brain image of an adult Arc-dVenus mouse acquired at 4micron resolution. Based on an annotated test volume containing 3278 cells, our algorithm achieves an $F_1$ measure of 0.89.

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Marco Paciscopi, Ludovico Silvestri, Francesco Saverio Pavone, Paolo Frasconi. 2015-11-04. Cell identification in whole-brain multiview images of neural activation. https://arxiv.org/abs/1511.01168

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