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

TitleAn optofluidic platform for interrogating chemosensory behavior and brainwide neural representation in larval zebrafish
Authors
Issue Date1-Dec-2023
PublisherNature Portfolio
Citation
Nature Communications, 2023, v. 14, n. 1 How to Cite?
AbstractStudying 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.
Persistent Identifierhttp://hdl.handle.net/10722/348473

 

DC FieldValueLanguage
dc.contributor.authorSy, Samuel KH-
dc.contributor.authorChan, Danny CW-
dc.contributor.authorChan, Roy CH-
dc.contributor.authorLyu, Jing-
dc.contributor.authorLi, Zhongqi-
dc.contributor.authorWong, Kenneth KY-
dc.contributor.authorChoi, Chung Hang Jonathan-
dc.contributor.authorMok, Vincent CT-
dc.contributor.authorLai, Hei Ming-
dc.contributor.authorRandlett, Owen-
dc.contributor.authorHu, Yu-
dc.contributor.authorKo, Ho-
dc.date.accessioned2024-10-10T00:30:50Z-
dc.date.available2024-10-10T00:30:50Z-
dc.date.issued2023-12-01-
dc.identifier.citationNature Communications, 2023, v. 14, n. 1-
dc.identifier.urihttp://hdl.handle.net/10722/348473-
dc.description.abstractStudying 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.-
dc.languageeng-
dc.publisherNature Portfolio-
dc.relation.ispartofNature Communications-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleAn optofluidic platform for interrogating chemosensory behavior and brainwide neural representation in larval zebrafish-
dc.typeArticle-
dc.identifier.doi10.1038/s41467-023-35836-2-
dc.identifier.pmid36641479-
dc.identifier.scopuseid_2-s2.0-85146259632-
dc.identifier.volume14-
dc.identifier.issue1-
dc.identifier.eissn2041-1723-
dc.identifier.issnl2041-1723-

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