Preprint alert! CochleaNet, our framework for analyzing cochlear light-sheet data. It consists of three networks to segment spiral ganglion neurons, inner hair cells, and detect synapses. Rendering of a full cochlea below, find the preprint at doi.org/10.1101/2025.11.16.6…
Cochleae were cleared, stained and imaged with a high-resolution light-sheet microscope (doi.org/10.1038/s41587-025-0…). After preprocessing,we segment and analyze the data with CochleaNet, using the three dedicated networks trained on newly annotated data.
We comprehensively evaluate our method and use it to analyze intact mouse and gerbil cochleae, including SGN sub-types, and to validate (opto-)genetic therapies preclinically (see screenshot). CochleaNet is also applicable to lower-resolution data from commercial systems.
Nov 18, 2025 · 8:06 AM UTC
This work was an excellent collaboration with the group of Tobias Moser, building on the cutting edge light-sheet microscopy of the Huisken lab.
Special thanks to Lennart, Aleyna, Elisabeth, and Martin! If you want to use CochleaNet, check out github.com/computational-cel…
