Optical constraints on two-photon voltage imaging.

shot noise two-photon voltage imaging

Journal

Neurophotonics
ISSN: 2329-423X
Titre abrégé: Neurophotonics
Pays: United States
ID NLM: 101632875

Informations de publication

Date de publication:
Jul 2024
Historique:
received: 28 05 2024
revised: 23 07 2024
accepted: 25 07 2024
medline: 14 8 2024
pubmed: 14 8 2024
entrez: 14 8 2024
Statut: ppublish

Résumé

Genetically encoded voltage indicators (GEVIs) are a valuable tool for studying neural circuits We consider the optical and biophysical constraints particular to 1P and 2P voltage imaging and compare the imaging properties of commonly used GEVIs under 1P and 2P excitation. We measure the brightness and voltage sensitivity of voltage indicators from commonly used classes under 1P and 2P illumination. We also measure the decrease in fluorescence as a function of depth in the mouse brain. We develop a simple model of the number of measurable cells as a function of reporter properties, imaging parameters, and desired signal-to-noise ratio (SNR). We then discuss how the performance of voltage imaging would be affected by sensor improvements and by recently introduced advanced imaging modalities. Compared with 1P excitation, 2P excitation requires Due to the stringent photon-count requirements of voltage imaging and the modest voltage sensitivity of existing reporters, 2P voltage imaging

Identifiants

pubmed: 39139631
doi: 10.1117/1.NPh.11.3.035007
pii: 24045GR
pmc: PMC11321468
doi:

Types de publication

Journal Article

Langues

eng

Pagination

035007

Informations de copyright

© 2024 The Authors.

Auteurs

F Phil Brooks (F)

Harvard University, Department of Chemistry and Chemical Biology, Cambridge, Massachusetts, United States.

Hunter C Davis (HC)

Harvard University, Department of Chemistry and Chemical Biology, Cambridge, Massachusetts, United States.

J David Wong-Campos (JD)

Harvard University, Department of Chemistry and Chemical Biology, Cambridge, Massachusetts, United States.

Adam E Cohen (AE)

Harvard University, Department of Chemistry and Chemical Biology, Cambridge, Massachusetts, United States.

Classifications MeSH