Evidence map›Paper›PMID 39351064›Full record

ArticleFrontiers in bioengineering and biotechnology2024

T-CLEARE: a pilot community-driven tissue clearing protocol repository.

Kurt R Weiss, Jan Huisken, Neda Khanjani, Vesselina Bakalov, Michelle L Engle, Michelle C Krzyzanowski, Tom Madden, Deborah R Maiese, Justin R Waterfield, David N Williams and 4 more

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 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

14 authors.

Kurt R WeissMorgridge Institute for Research, Madison, WI, United States.
Jan HuiskenMorgridge Institute for Research, Madison, WI, United States.
Neda KhanjaniMark and Mary Stevens Neuroimaging and Informatics Institute, Laboratory of Neuro Imaging, Keck School of Medicine of University of Southern California, Los Angeles, CA, United States.
Vesselina BakalovBioinformatics and Computational Biology Program, RTI International, Durham, NC, United States.
Michelle L EngleBioinformatics and Computational Biology Program, RTI International, Durham, NC, United States.
Michelle C KrzyzanowskiBioinformatics and Computational Biology Program, RTI International, Durham, NC, United States.
Tom MaddenBioinformatics and Computational Biology Program, RTI International, Durham, NC, United States.
Deborah R MaieseBioinformatics and Computational Biology Program, RTI International, Durham, NC, United States.
Justin R WaterfieldBioinformatics and Computational Biology Program, RTI International, Durham, NC, United States.
David N WilliamsBioinformatics and Computational Biology Program, RTI International, Durham, NC, United States.
Lauren WoodBioinformatics and Computational Biology Program, RTI International, Durham, NC, United States.
Xin WuBioinformatics and Computational Biology Program, RTI International, Durham, NC, United States.
Carol M HamiltonBioinformatics and Computational Biology Program, RTI International, Durham, NC, United States.
Wayne HugginsBioinformatics and Computational Biology Program, RTI International, Durham, NC, United States.

Funding

A Confocal Fluorescence Microscopy Brain Data ArchiveR24MH114793 · NIMH · CARNEGIE-MELLON UNIVERSITY · PI ALEXANDER J ROPELEWSKI, Alan Michael Watson · 2017 to 2026
$10.1M
Collaborative Standards for Brain MicroscopyR24MH114683 · NIMH · RESEARCH TRIANGLE INSTITUTE · PI HUGGINS, BRUCE WAYNE · 2018 to 2019
$1.0M
NIMH NIH HHS R24 MH114683NIMH NIH HHS R24 MH114793
6 · The paper itself

Abstract

Selecting and implementing a tissue clearing protocol is challenging. Established more than 100 years ago, tissue clearing is still a rapidly evolving field of research. There are currently many published protocols to choose from, and each performs better or worse across a range of key evaluation factors (e.g., speed, cost, tissue stability, fluorescence quenching). Additionally, tissue clearing protocols are often optimized for specific experimental contexts, and applying an existing protocol to a new problem can require a lengthy period of adaptation by trial and error. Although the primary literature and review articles provide a useful starting point for optimization, there is growing recognition that results can vary dramatically with changes to tissue type or antibody used. To help address this issue, we have developed a novel, freely available repository of tissue clearing protocols named T-CLEARE (Tissue CLEAring protocol REpository; https://doryworkspace.org/doryviz). T-CLEARE incorporates community responses to an open survey designed to capture details not commonly found in the scientific literature, including modifications to published protocols required for specific use cases and instances when tissue clearing protocols did not perform well (negative results). The goal of T-CLEARE is to help the community share evaluations and modifications of tissue clearing protocols for various tissue types and potentially identify best-in-class methods for a given application.

Indexed as

databasemicroscopyneurosciencetissue clearingtissue clearing methods

Identifiers

PMID39351064
PMCPMC11439823

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.