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Peer-reviewedCC BYELife

Open source laser-scanning photostimulation for neuroscience with Zapit.

8 more authors
  1. 1Sainsbury Wellcome Centre, UCL, London, United Kingdom.
  2. 2University of Cambridge, Cambridge, United Kingdom.
  3. 3Department of Cell and Developmental Biology, UCL, London, United Kingdom.

Abstract

Optogenetic tools are indispensable for understanding the causal neural mechanisms underlying animal behavior, providing millisecond-precision control over genetically defined neural populations. Random-access laser-scanning optogenetics is a powerful and underutilized method for transiently manipulating cortical activity in mice. Despite the utility of this technique, no general-purpose open-source implementation currently exists, and potential users need expertise across optics, real-time hardware control, and programming. This represents a major barrier to adoption, particularly for newly established research groups. Here we present 'Zapit', the first open-source general-purpose platform for random-access laser-scanning optogenetic experiments in head-fixed mice. Zapit is fully documented, has a user-friendly GUI, works in stereotaxic coordinates, and comes with easy-to-build hardware options that extend functionality beyond any published system. We validate Zapit's performance through electrophysiological recordings and cortical photoinhibition in behaving mice. Zapit is a novel and innovative tool with the potential to democratize laser-scanning optogenetics and significantly increase uptake throughout the scientific community.

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BibTeX
@article{lohse2026open,
  title = {{Open source laser-scanning photostimulation for neuroscience with Zapit.}},
  author = {Michael Lohse and Oliver M Gauld and Maja T Quigley and Ainiah Masood and Chaofei Bao and Jingjie Li and Nathaniel J Miska and Gerion Nabbefeld and Quentin Pajot-Moric and Simon Townsend and Peter Vincent and Angela Y Yang and Nikolaos Zervogiannis and Athena Akrami and Chunyu A Duan and Jeffrey C Erlich and Sonja B Hofer and Thomas D Mrsic-Flogel and Philip Coen and Robert A A Campbell},
  journal = {ELife},
  year = {2026},
  month = oct,
  doi = {10.7554/elife.111872},
  url = {https://europepmc.org/article/MED/42932446},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Open source laser-scanning photostimulation for neuroscience with Zapit.
AU  - Michael Lohse
AU  - Oliver M Gauld
AU  - Maja T Quigley
AU  - Ainiah Masood
AU  - Chaofei Bao
AU  - Jingjie Li
AU  - Nathaniel J Miska
AU  - Gerion Nabbefeld
AU  - Quentin Pajot-Moric
AU  - Simon Townsend
AU  - Peter Vincent
AU  - Angela Y Yang
AU  - Nikolaos Zervogiannis
AU  - Athena Akrami
AU  - Chunyu A Duan
AU  - Jeffrey C Erlich
AU  - Sonja B Hofer
AU  - Thomas D Mrsic-Flogel
AU  - Philip Coen
AU  - Robert A A Campbell
PY  - 2026
DA  - 2026/10/26
JO  - ELife
DO  - 10.7554/elife.111872
UR  - https://europepmc.org/article/MED/42932446
AB  - Optogenetic tools are indispensable for understanding the causal neural mechanisms underlying animal behavior, providing millisecond-precision control over genetically defined neural populations. Random-access laser-scanning optogenetics is a powerful and underutilized method for transiently manipulating cortical activity in mice. Despite the utility of this technique, no general-purpose open-source implementation currently exists, and potential users need expertise across optics, real-time hardware control, and programming. This represents a major barrier to adoption, particularly for newly established research groups. Here we present 'Zapit', the first open-source general-purpose platform for random-access laser-scanning optogenetic experiments in head-fixed mice. Zapit is fully documented, has a user-friendly GUI, works in stereotaxic coordinates, and comes with easy-to-build hardware options that extend functionality beyond any published system. We validate Zapit's performance through electrophysiological recordings and cortical photoinhibition in behaving mice. Zapit is a novel and innovative tool with the potential to democratize laser-scanning optogenetics and significantly increase uptake throughout the scientific community.
SN  - 2050-084X
ER  -