Evidence map›Paper›PMID 37425952›Full record

ArticlebioRxiv : the preprint server for biology2024

Pixel-wise programmability enables dynamic high-SNR cameras for high-speed microscopy.

Jie Zhang, Jonathan Newman, Zeguan Wang, Yong Qian, Pedro Feliciano-Ramos, Wei Guo, Takato Honda, Zhe Sage Chen, Changyang Linghu, Ralph Etienne-Cummings and 3 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Jie ZhangPicower Institute for Learning and Memory, MIT, Cambridge, MA, USA.ORCID 0000-0002-9089-1462
Jonathan NewmanPicower Institute for Learning and Memory, MIT, Cambridge, MA, USA.
Zeguan WangDepartment of Brain and Cognitive Sciences, MIT, Cambridge, MA, USA.
Yong QianDepartment of Brain and Cognitive Sciences, MIT, Cambridge, MA, USA.
Pedro Feliciano-RamosPicower Institute for Learning and Memory, MIT, Cambridge, MA, USA.ORCID 0000-0002-7446-8103
Wei GuoPicower Institute for Learning and Memory, MIT, Cambridge, MA, USA.ORCID 0000-0003-2150-7073
Takato HondaPicower Institute for Learning and Memory, MIT, Cambridge, MA, USA.ORCID 0000-0002-3327-8282
Zhe Sage ChenDepartment of Psychiatry, NYU Grossman School of Medicine, New York, NY, USA.ORCID 0000-0002-6483-6056
Changyang LinghuDepartment of Cell and Developmental Biology, University of Michigan, Ann Arbor, MI, USA.
Ralph Etienne-CummingsDepartment of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA.
Eric FossumThayer School of Engineering, Dartmouth College, Hanover, NH, USA.
Edward BoydenDepartment of Brain and Cognitive Sciences, MIT, Cambridge, MA, USA.
Matthew WilsonPicower Institute for Learning and Memory, MIT, Cambridge, MA, USA.

Funding

Novel Platforms for Systematic Optical Control of Complex Neural Circuits In VivoR01DA029639 · NIDA · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BOYDEN, EDWARD S. · 2010 to 2023
$6.7M
Multidimensional Optimization of Voltage Indicators for In Vivo Neural Activity ImagingR01MH122971 · NIMH · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI HAN, XUE · 2020 to 2024
$3.4M
High throughput assaying of circuit activity and connectivity in brain organoidsRF1MH123977 · NIMH · HARVARD UNIVERSITY · PI ARLOTTA, PAOLA, BOYDEN, EDWARD S. · 2020 to 2020
$2.5M
Opto-Crown: Transparent skulls with embedded optics for cortex-wide cellular resolution imaging in freely moving miceRF1NS113287 · NINDS · UNIVERSITY OF MINNESOTA · PI BOYDEN, EDWARD S., KODANDARAMAIAH, SUHASA B · 2019 to 2019
$2.0M
CRNS: An Integrative Study of Hippocampal-Neocortical Memory Coding during Sleep R01MH118928 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CHEN, ZHE SAGE, WILSON, MATTHEW A · 2018 to 2022
$1.8M
Integrated compressive sensing microscope for high-speed functional biological imagingR21EY028381 · NEI · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI CHIN, SANG PETER · 2017 to 2018
$490k
NEI NIH HHS R21 EY028381NIDA NIH HHS R01 DA029639NIMH NIH HHS R01 MH118928NIMH NIH HHS R01 MH122971NIMH NIH HHS RF1 MH123977NINDS NIH HHS RF1 NS113287
6 · The paper itself

Abstract

High-speed wide-field fluorescence microscopy has the potential to capture biological processes with exceptional spatiotemporal resolution. However, conventional cameras suffer from low signal-to-noise ratio at high frame rates, limiting their ability to detect faint fluorescent events. Here, we introduce an image sensor where each pixel has individually programmable sampling speed and phase, so that pixels can be arranged to simultaneously sample at high speed with a high signal-to-noise ratio. In high-speed voltage imaging experiments, our image sensor significantly increases the output signal-to-noise ratio compared to a low-noise scientific CMOS camera (~2-3 folds). This signal-to-noise ratio gain enables the detection of weak neuronal action potentials and subthreshold activities missed by the standard scientific CMOS cameras. Our camera with flexible pixel exposure configurations offers versatile sampling strategies to improve signal quality in various experimental conditions.

Identifiers

PMID37425952
PMCPMC10327006

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.