Skip to content
Free planNo credit card requiredStart writing

other · Zenodo (CERN European Organization for Nuclear Research) · 2025

Cell Type Explorer

Koskela, Sanna, Burnett, Laura, Dreher, Marisa, Gruntman, Eyal, Hoeller, Judith, Loesche, Frank, Longden, Kit, Rogers, Edward, Seenivasan, Pavithraa, Zhao, Arthur, Nern, Aljoscha, Reiser, Michael

Cited by 0Open access

Abstract

Cell Type Explorer, a supplement to "Connectome-driven neural inventory of a complete visual system" (Nern et al., 2025; https://doi.org/10.1038/s41586-025-08746-0). Browse the Cell Type Explorer at https://reiserlab.github.io/male-drosophila-visual-system-connectome/ or download the long-term archived version from here. Abstract from the manuscript: Vision provides animals with detailed information about their surroundings, conveying diverse features such as color, form, and movement across the visual scene. Computing these parallel spatial features requires a large and diverse network of neurons, such that in animals as distant as flies and humans, visual regions comprise half the brain’s volume. These visual brain regions often reveal remarkable structure-function relationships, with neurons organized along spatial maps with shapes that directly relate to their roles in visual processing. To unravel the stunning diversity of a complex visual system, a careful mapping of the neural architecture matched to tools for targeted exploration of that circuitry is essential. Here, we report a new connectome of the right optic lobe from a male Drosophila central nervous system FIB-SEM volume and a comprehensive inventory of the fly’s visual neurons. We developed a computational framework to quantify the anatomy of visual neurons, establishing a basis for interpreting how their shapes relate to spatial vision. By integrating this analysis with connectivity information, neurotransmitter identity, and expert curation, we classified the ∼53,000 neurons into 727 types, about half of which are systematically described and named for the first time. Finally, we share an extensive collection of split-GAL4 lines matched to our neuron type catalog. Together, this comprehensive set of tools and data unlock new possibilities for systematic investigations of vision in Drosophila, a foundation for a deeper understanding of sensory processing. The Cell Type Explorer is a set of static webpages with information about the cell types from the preprint.

Cite this paper

APA 7

Koskela, S., Burnett, L., Dreher, M., Gruntman, E., Hoeller, J., Loesche, F., Longden, K., Rogers, E., Seenivasan, P., Zhao, A., Nern, A., & Reiser, M. (2025). Cell Type Explorer. Zenodo (CERN European Organization for Nuclear Research). https://doi.org/10.5281/zenodo.15015112

MLA 9

Koskela, Sanna, et al. “Cell Type Explorer.” Zenodo (CERN European Organization for Nuclear Research), 2025, https://doi.org/10.5281/zenodo.15015112.

Chicago

Koskela, Sanna, Laura Burnett, Marisa Dreher, Eyal Gruntman, Judith Hoeller, Frank Loesche, Kit Longden, et al. 2025. “Cell Type Explorer.” Zenodo (CERN European Organization for Nuclear Research). https://doi.org/10.5281/zenodo.15015112.

Harvard

Koskela, S. et al. (2025) ‘Cell Type Explorer’, Zenodo (CERN European Organization for Nuclear Research). Available at: https://doi.org/10.5281/zenodo.15015112.

BibTeX
@misc{koskela2025cell,
  title = {{Cell Type Explorer}},
  author = {Koskela, Sanna and Burnett, Laura and Dreher, Marisa and Gruntman, Eyal and Hoeller, Judith and Loesche, Frank and Longden, Kit and Rogers, Edward and Seenivasan, Pavithraa and Zhao, Arthur and Nern, Aljoscha and Reiser, Michael},
  journal = {Zenodo (CERN European Organization for Nuclear Research)},
  year = {2025},
  doi = {10.5281/zenodo.15015112}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.