Evidence map›Paper›PMID 36854208›Full record

ReviewAnnual review of analytical chemistry (Palo Alto, Calif.)2023

Nondestructive 3D Pathology with Light-Sheet Fluorescence Microscopy for Translational Research and Clinical Assays.

Jonathan T C Liu, Adam K Glaser, Chetan Poudel, Joshua C Vaughan

Abstract readReview
In one paragraph

Review in Annual review of analytical chemistry (Palo Alto, Calif.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
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  4. Review
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  8. Review
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  11. Review
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  14. Review
  15. Current Landscape of Advanced Imaging Tools for Pathology Diagnostics.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2024
    Review
  16. Engineering the future of 3D pathology.The journal of pathology. Clinical research · 2024
    Article
  17. An end-to-end workflow for non-destructive 3D pathology.bioRxiv : the preprint server for biology · 2023
    Article
  18. Article
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

4 authors.

Jonathan T C LiuDepartment of Mechanical Engineering, University of Washington, Seattle, Washington, USA; email: jonliu@uw.edu.
Adam K GlaserDepartment of Mechanical Engineering, University of Washington, Seattle, Washington, USA; email: jonliu@uw.edu.
Chetan PoudelDepartment of Chemistry, University of Washington, Seattle, Washington, USA.
Joshua C VaughanDepartment of Chemistry, University of Washington, Seattle, Washington, USA.

Funding

Spatially Resolved Transcriptomics Enabled by Ultrabright Pdot Probes for Interrogation of Complex TissuesR01MH115767 · NIMH · UNIVERSITY OF WASHINGTON · PI CHIU, DANIEL T, VAUGHAN, JOSHUA · 2017 to 2021
$3.7M
Prostate cancer risk stratification via computational 3D pathologyR01CA268207 · NCI · UNIVERSITY OF WASHINGTON · PI Jonathan T.C. Liu, Anant Madabhushi · 2022 to 2026
$3.1M
Instrumentation platform for 3D pathology with open-top light-sheet microscopyR01EB031002 · NIBIB · UNIVERSITY OF WASHINGTON · PI LIU, JONATHAN T.C. · 2021 to 2024
$1.9M
Light-sheet micro-aspiration microscopy for the isolation and analysis of rare tumor cells from intact clinical specimensR00CA240681 · NCI · ALLEN INSTITUTE · PI GLASER, ADAM K · 2021 to 2023
$745k
NCI NIH HHS R00 CA240681NCI NIH HHS R01 CA268207NIBIB NIH HHS R01 EB031002NIMH NIH HHS R01 MH115767
6 · The paper itself

Abstract

In recent years, there has been a revived appreciation for the importance of spatial context and morphological phenotypes for both understanding disease progression and guiding treatment decisions. Compared with conventional 2D histopathology, which is the current gold standard of medical diagnostics, nondestructive 3D pathology offers researchers and clinicians the ability to visualize orders of magnitude more tissue within their natural volumetric context. This has been enabled by rapid advances in tissue-preparation methods, high-throughput 3D microscopy instrumentation, and computational tools for processing these massive feature-rich data sets. Here, we provide a brief overview of many of these technical advances along with remaining challenges to be overcome. We also speculate on the future of 3D pathology as applied in translational investigations, preclinical drug development, and clinical decision-support assays.

Indexed as

Translational Research, BiomedicalTranslational Science, BiomedicalBiological AssayDisease ProgressionHumansMicroscopy, Fluorescencecomputational pathologydigital pathologyoptical-sectioning microscopyprecision medicinespatial biology

Identifiers

PMID36854208
PMCPMC12829911

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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.