MiniFAST: a sensitive and fast miniaturized microscope for in vivo neural recording

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Authors: Jill Juneau, Guillaume Duret, Joshua Chu, Blake Madruga, Conor C. Dorian, Alexander V. Rodriguez, S. A. Morozov, Daniel Aharoni, Jacob T. Robinson, François St-Pierre, Peyman Golshani, Caleb Kemere
Cited by: 2

Abstract

SignificanceObserving the activity of large populations of neurons in vivo is critical for understanding brain function and dysfunction. The use of fluorescent genetically encoded calcium indicators (GECIs) in conjunction with miniaturized microscopes is an exciting emerging toolset for recording neural activity in unrestrained animals. Despite their potential, current miniaturized microscope designs are limited using image sensors with low frame rates, sensitivity, and resolution. Beyond GECIs, there are many neuroscience applications that would benefit from the use of other emerging neural indicators, such as fluorescent genetically encoded voltage indicators (GEVIs) that have faster temporal resolution to match neuron spiking, yet require imaging at high speeds.AimWe integrated an advanced CMOS image sensor into a popular open-source one-photon miniaturized microscope platform.ApproachMiniFAST is a fast and sensitive miniaturized microscope capable of 1080p video (1920×1080 pixels), 1.5 μm resolution, frame rates up to 500 Hz (achieved with windowing: 1920×55 pixels height), and high gain ability (up to 70 dB) to image in extremely low-light conditions.ResultsWe report results of ∼300-Hz in vivo imaging of freely behaving transgenic Thy1-GCaMP6f mice, high-speed 500-Hz in vitro imaging of a GEVI, and in vivo GEVI imaging in head-fixed mice.ConclusionsOur results extend miniaturized microscope capabilities in high-speed imaging, high sensitivity, and increased resolution.

Fields of Study & Subjects

Neuroscience and Neural Engineering Advanced Fluorescence Microscopy Techniques Neural dynamics and brain function

Publication details

Journal / source
Neurophotonics
Publisher
SPIE-Intl Soc Optical Eng
Volume
13
Issue
S2
Pages
S23203–S23203
Publication date
14 March 2026
Language
EN