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Signal separability in integrated neurophotonics

Yatsenko, Dimitri and Moreaux, Laurent C. and Choi, Jaebin and Tolias, Andreas S. and Shepard, Kenneth L. and Roukes, Michael L. (2020) Signal separability in integrated neurophotonics. . (Unpublished)

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A new modality Photonic probes record fluorescent signals by using arrays of light emitters and detectors embedded in neural tissue. Neither the emitted nor collected light fields are focused. Instead, in proposed configurations, hundreds of emitters will form rapid sequences of structured illumination patterns|providing sufficient spatial and temporal differentiation of neural signals for computational demixing. Here we define criteria for evaluating probe designs for achieving better signal separability. We find that probe geometry has profound, often unintuitive, effects on the separability of neural signals, providing initial design guidelines to achieve separation of individual cells in densely labeled populations.

Item Type:Report or Paper (Discussion Paper)
Related URLs:
URLURL TypeDescription Paper
Yatsenko, Dimitri0000-0002-1844-641X
Moreaux, Laurent C.0000-0003-1276-5062
Choi, Jaebin0000-0002-8348-7701
Shepard, Kenneth L.0000-0003-0665-6775
Roukes, Michael L.0000-0002-2916-6026
Additional Information:The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. Posted September 29, 2020. We thank Joseph Redford, a graduate student in Dr. Roukes' lab, for implementing light transport simulations used for earlier versions of this analysis circa 2015.
Record Number:CaltechAUTHORS:20201001-122032776
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Official Citation:Signal separability in integrated neurophotonics. Dimitri Yatsenko, Laurent C. Moreaux, Jaebin Choi, Andreas S. Tolias, Kenneth L. Shepard, Michael L. Roukes. bioRxiv 2020.09.27.315556; doi:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:105721
Deposited By: Tony Diaz
Deposited On:01 Oct 2020 20:32
Last Modified:16 Nov 2021 18:45

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