Grant Kroeschell

This paper develops threshold-free deep learning models for detecting swim bouts in larval zebrafish, showing improved precision over traditional methods and revealing behavioral patterns across genetic backgrounds.

The paper develops fluorescently labeled split-QF and QF2 hemidrivers in zebrafish to simplify intersectional targeting and enable quality control of split-driver function.

This paper introduces a self-adaptive oblique plane microscopy technique that enables high-speed volumetric imaging across microscopic to macroscopic scales in multi-cellular systems.

This paper introduces a deep learning method to correct optical aberrations in fluorescence microscopy, improving image quality and enabling better downstream analysis.