Evidence map›Paper›PMID 35128463›Full record

ArticleNature reviews. Methods primers2021

TISSUE CLEARING.

Douglas S Richardson, Webster Guan, Katsuhiko Matsumoto, Chenchen Pan, Kwanghun Chung, Ali Ertürk, Hiroki R Ueda, Jeff W Lichtman

Abstract read
In one paragraph

Article in Nature reviews. Methods primers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 papers.

0numbers the graph read from it
0cells of the map it votes in
113citing 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

113 citing papers in PubMed.

  1. Review
  2. Article
  3. Mesolens imaging in microbiology.Essays in biochemistry · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Bioinspired Tissue Transparency: Achieving Sclera-to-Cornea Transplantation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  20. Review

53 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Douglas S RichardsonHarvard Center for Biological Imaging, Harvard University, Cambridge, MA, USA.
Webster GuanDepartment of Chemical Engineering, MIT, Cambridge, MA, USA.
Katsuhiko MatsumotoDepartment of Systems Pharmacology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Chenchen PanInstitute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig Maximilians University of Munich, Munich, Germany.
Kwanghun ChungDepartment of Systems Pharmacology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Ali ErtürkInstitute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig Maximilians University of Munich, Munich, Germany.
Hiroki R UedaDepartment of Systems Pharmacology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Jeff W LichtmanHarvard Center for Biological Imaging, Harvard University, Cambridge, MA, USA.

Funding

Zooming into the fish's brain-What is really going on! Connectomics analysis of larval zebrafish.U19NS104653 · NINDS · HARVARD UNIVERSITY · PI Jeff W Lichtman · 2017 to 2026
$39.4M
Res Support CoreP50MH094271 · NIMH · HARVARD UNIVERSITY · PI HENSCH, TAKAO K · 2011 to 2022
$18.6M
Towards integrated 3D reconstruction of whole human brains at subcellular resolutionU01MH117072 · NIMH · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI CHUNG, KWANGHUN · 2018 to 2022
$8.8M
Proteome-Driven Holistic Reconstruction of Organ-Wide Multi-Scale NetworksDP2ES027992 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI CHUNG, KWANGHUN · 2016 to 2021
$2.8M
NIEHS NIH HHS DP2 ES027992NIMH NIH HHS P50 MH094271NIMH NIH HHS U01 MH117072NINDS NIH HHS U19 NS104653
6 · The paper itself

Abstract

Tissue clearing of gross anatomical samples was first described over a century ago and has only recently found widespread use in the field of microscopy. This renaissance has been driven by the application of modern knowledge of optical physics and chemical engineering to the development of robust and reproducible clearing techniques, the arrival of new microscopes that can image large samples at cellular resolution and computing infrastructure able to store and analyze large data volumes. Many biological relationships between structure and function require investigation in three dimensions and tissue clearing therefore has the potential to enable broad discoveries in the biological sciences. Unfortunately, the current literature is complex and could confuse researchers looking to begin a clearing project. The goal of this Primer is to outline a modular approach to tissue clearing that allows a novice researcher to develop a customized clearing pipeline tailored to their tissue of interest. Further, the Primer outlines the required imaging and computational infrastructure needed to perform tissue clearing at scale, gives an overview of current applications, discusses limitations and provides an outlook on future advances in the field.

Identifiers

PMID35128463
PMCPMC8815095

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Registered trials

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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.