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arXiv · 2406.19162

Single Image Estimation of Cell Migration Direction by Deep Circular Regression

Lennart Bruns·Lucas Lamparter·Milos Galic·Xiaoyi Jiang
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Abstract

In this paper, we address the problem of estimating the migration direction of cells based on a single image. A solution to this problem lays the foundation for a variety of applications that were previously not possible. To our knowledge, there is only one related work that employs a classification CNN with four classes (quadrants). However, this approach does not allow for detailed directional resolution. We tackle the single image estimation problem using deep circular regression, with a particular focus on cycle-sensitive methods. On two common datasets, we achieve a mean estimation error of $\sim\!17^\circ$, representing a significant improvement over previous work, which reported estimation error of $30^\circ$ and $34^\circ$, respectively.

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Lennart Bruns, Lucas Lamparter, Milos Galic, Xiaoyi Jiang. 2024-06-27. Single Image Estimation of Cell Migration Direction by Deep Circular Regression. https://arxiv.org/abs/2406.19162

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