Automatic monitoring of neural activity with single-cell resolution in behaving Hydra.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
01 Mar 2024
01 Mar 2024
Historique:
received:
25
09
2023
accepted:
26
02
2024
medline:
2
3
2024
pubmed:
2
3
2024
entrez:
1
3
2024
Statut:
epublish
Résumé
The ability to record every spike from every neuron in a behaving animal is one of the holy grails of neuroscience. Here, we report coming one step closer towards this goal with the development of an end-to-end pipeline that automatically tracks and extracts calcium signals from individual neurons in the cnidarian Hydra vulgaris. We imaged dually labeled (nuclear tdTomato and cytoplasmic GCaMP7s) transgenic Hydra and developed an open-source Python platform (TraSE-IN) for the Tracking and Spike Estimation of Individual Neurons in the animal during behavior. The TraSE-IN platform comprises a series of modules that segments and tracks each nucleus over time and extracts the corresponding calcium activity in the GCaMP channel. Another series of signal processing modules allows robust prediction of individual spikes from each neuron's calcium signal. This complete pipeline will facilitate the automatic generation and analysis of large-scale datasets of single-cell resolution neural activity in Hydra, and potentially other model organisms, paving the way towards deciphering the neural code of an entire animal.
Identifiants
pubmed: 38429381
doi: 10.1038/s41598-024-55608-2
pii: 10.1038/s41598-024-55608-2
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
5083Subventions
Organisme : NINDS NIH HHS
ID : K99 NS127851
Pays : United States
Informations de copyright
© 2024. The Author(s).
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