Evidence map›Paper›PMID 37333196›Full record

ArticlebioRxiv : the preprint server for biology2023

Scalable projected Light Sheet Microscopy for high-resolution imaging of living and cleared samples.

Yannan Chen, Shradha Chauhan, Cheng Gong, Hannah Dayton, Cong Xu, Estanislao Daniel De La Cruz, Malika S Datta, Kam W Leong, Lars E P Dietrich, Raju Tomer

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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, 4 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 2 countries.

Yannan ChenDepartment of Biological Sciences.
Shradha ChauhanDepartment of Biological Sciences.
Cheng GongDepartment of Biological Sciences.
Hannah DaytonDepartment of Biological Sciences.
Cong XuDepartment of Biomedical Engineering.
Estanislao Daniel De La CruzDepartment of Biological Sciences.
Malika S DattaDepartment of Biological Sciences.
Kam W LeongDepartment of Biomedical Engineering.
Lars E P DietrichDepartment of Biological Sciences.
Raju TomerDepartment of Biological Sciences.
Columbia University · USMIND Research Institute · US

Funding

Integration of redox-balancing mechanisms in Pseudomonas aeruginosa biofilmsR01AI103369 · NIAID · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI DIETRICH, LARS · 2013 to 2022
$4.1M
Integrated Microphysiological System of Cerebral Organoid and Blood Vessel for Disease Modeling and Neuropsychiatric Drug screeningUH3TR002151 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LEONG, KAM W · 2020 to 2022
$3.6M
A comparative approach for decomposing the mammalian brain architectural complexityDP2MH119423 · NIMH · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI TOMER, RAJU · 2018 to 2018
$2.4M
Focused Ultrasound-mediated Delivery of Gene-editing Elements to the Brain for Neurodegenerative DisordersUH3NS115598 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LEONG, KAM W · 2022 to 2022
$1.6M
NCATS NIH HHS UH3 TR002151NIAID NIH HHS R01 AI103369NIMH NIH HHS DP2 MH119423NINDS NIH HHS UH3 NS115598
6 · The paper itself

Abstract

Light sheet fluorescence microscopy (LSFM) is a widely used imaging technique for living and large cleared samples. However, high-performance LSFM systems are often prohibitively expensive and not easily scalable for high-throughput applications. Here, we introduce a cost-effective, scalable, and versatile high-resolution imaging framework, called projected Light Sheet Microscopy (pLSM), which repurposes readily available off-the-shelf consumer-grade components and an over-the-network control architecture to achieve high-resolution imaging of living and cleared samples. We extensively characterize the pLSM framework and showcase its capabilities through high-resolution, multi-color imaging and quantitative analysis of mouse and post-mortem human brain samples cleared using various techniques. Moreover, we show the applicability of pLSM for high-throughput molecular phenotyping of human induced pluripotent cells (iPSC)-derived brain and vessel organoids. Additionally, we utilized pLSM for comprehensive live imaging of bacterial pellicle biofilms at the air-liquid interface, uncovering their intricate layered architecture and diverse cellular dynamics across different depths. Overall, the pLSM framework has the potential to further democratize LSFM by making high-resolution light sheet microscopy more accessible and scalable.

Identifiers

PMID37333196
PMCPMC10274708
OpenAlexW4379390082

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.