An optofluidic platform for interrogating chemosensory behavior and brainwide neural representation in larval zebrafish

Samuel K. H. Sy, Danny C. W. Chan, Roy C. H. Chan, Jing Lyu, Zhongqi Li, Kenneth K. Y. Wong, Chung Hang Jonathan Choi, Vincent C. T. Mok, Hei-Ming Lai, Owen Randlett, Yu Hu and Ho Ko ()
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Samuel K. H. Sy: The Chinese University of Hong Kong
Danny C. W. Chan: The Chinese University of Hong Kong
Roy C. H. Chan: The Chinese University of Hong Kong
Jing Lyu: The Chinese University of Hong Kong
Zhongqi Li: The Chinese University of Hong Kong
Kenneth K. Y. Wong: The University of Hong Kong
Chung Hang Jonathan Choi: The Chinese University of Hong Kong
Vincent C. T. Mok: The Chinese University of Hong Kong
Hei-Ming Lai: The Chinese University of Hong Kong
Owen Randlett: Université Claude Bernard Lyon 1
Yu Hu: Hong Kong University of Science and Technology, Clear Water Bay, New Territories
Ho Ko: The Chinese University of Hong Kong

Nature Communications, 2023, vol. 14, issue 1, 1-18

Abstract: Abstract Studying chemosensory processing desires precise chemical cue presentation, behavioral response monitoring, and large-scale neuronal activity recording. Here we present Fish-on-Chips, a set of optofluidic tools for highly-controlled chemical delivery while simultaneously imaging behavioral outputs and whole-brain neuronal activities at cellular resolution in larval zebrafish. These include a fluidics-based swimming arena and an integrated microfluidics-light sheet fluorescence microscopy (µfluidics-LSFM) system, both of which utilize laminar fluid flows to achieve spatiotemporally precise chemical cue presentation. To demonstrate the strengths of the platform, we used the navigation arena to reveal binasal input-dependent behavioral strategies that larval zebrafish adopt to evade cadaverine, a death-associated odor. The µfluidics-LSFM system enables sequential presentation of odor stimuli to individual or both nasal cavities separated by only ~100 µm. This allowed us to uncover brainwide neural representations of cadaverine sensing and binasal input summation in the vertebrate model. Fish-on-Chips is readily generalizable and will empower the investigation of neural coding in the chemical senses.

Date: 2023
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DOI: 10.1038/s41467-023-35836-2

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