Precision calcium imaging of dense neural populations via a cell body-targeted calcium indicator
Or A. Shemesh,
Kiryl D Piatkevich,
Howard J. Gritton,
Michael F. Romano,
Chi-Chieh (Jay) Yu,
Jeremy F.P. Ullmann,
Zoe R. Sheinkopf,
Won Min Park,
Amy E Keating,
James S. Trimmer,
Kay M. Tye,
Misha B. Ahrens,
Edward S. Boyden
Posted 17 Sep 2019
bioRxiv DOI: 10.1101/773069 (published DOI: 10.1016/j.neuron.2020.05.029)
Posted 17 Sep 2019
Methods for one-photon fluorescent imaging of calcium dynamics in vivo are popular due to their ability to simultaneously capture the dynamics of hundreds of neurons across large fields of view, at a low equipment complexity and cost. In contrast to two-photon methods, however, one-photon methods suffer from higher levels of crosstalk between cell bodies and the surrounding neuropil, resulting in decreased signal-to-noise and artifactual correlations of neural activity. Here, we address this problem by engineering cell body-targeted variants of the fluorescent calcium indicator GCaMP6f. We screened fusions of GCaMP6f to both natural as well as engineered peptides, and identified fusions that localized GCaMP6f to within approximately 50 microns of the cell body of neurons in live mice and larval zebrafish. One-photon imaging of soma-targeted GCaMP6f in dense neural circuits reported fewer artifactual spikes from neuropil, increased signal-to-noise ratio, and decreased artifactual correlation across neurons. Thus, soma-targeting of fluorescent calcium indicators increases neuronal signal fidelity and may facilitate even greater usage of simple, powerful, one-photon methods of population imaging of neural calcium dynamics.
- Downloaded 2,003 times
- Download rankings, all-time:
- Site-wide: 3,663 out of 89,940
- In neuroscience: 524 out of 16,001
- Year to date:
- Site-wide: 2,907 out of 89,940
- Since beginning of last month:
- Site-wide: 1,933 out of 89,940
Downloads over time
Distribution of downloads per paper, site-wide
- 18 Dec 2019: We're pleased to announce PanLingua, a new tool that enables you to search for machine-translated bioRxiv preprints using more than 100 different languages.
- 21 May 2019: PLOS Biology has published a community page about Rxivist.org and its design.
- 10 May 2019: The paper analyzing the Rxivist dataset has been published at eLife.
- 1 Mar 2019: We now have summary statistics about bioRxiv downloads and submissions.
- 8 Feb 2019: Data from Altmetric is now available on the Rxivist details page for every preprint. Look for the "donut" under the download metrics.
- 30 Jan 2019: preLights has featured the Rxivist preprint and written about our findings.
- 22 Jan 2019: Nature just published an article about Rxivist and our data.
- 13 Jan 2019: The Rxivist preprint is live!