Evidence map›Paper›PMID 42332091›Full record

ArticleNature methods2026

3D pathology-guided microdissection.

Huai-Ching Hsieh, Gan Gao, Qinghua Han, David Brenes, Elena Baraznenok, Renao Yan, Robert Serafin, Kevin W Bishop, Rui Wang, Eric Q Konnick and 14 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors.

Huai-Ching HsiehDepartment of Bioengineering, Stanford University, Stanford, CA, USA.
Gan GaoDepartment of Pathology, Stanford University, Stanford, CA, USA.
Qinghua HanDepartment of Bioengineering, Stanford University, Stanford, CA, USA.
David BrenesDepartment of Pathology, Stanford University, Stanford, CA, USA.
Elena BaraznenokDepartment of Bioengineering, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0009-0001-6017-7751
Renao YanDepartment of Pathology, Stanford University, Stanford, CA, USA.
Robert SerafinDepartment of Mechanical Engineering, University of Washington, Seattle, WA, USA.
Kevin W BishopDepartment of Bioengineering, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0001-8722-6464
Rui WangDepartment of Pathology, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0009-0007-6553-2074
Eric Q KonnickDepartment of Laboratory Medicine & Pathology, University of Washington, Seattle, WA, USA.
Colin C PritchardDepartment of Laboratory Medicine & Pathology, University of Washington, Seattle, WA, USA.
Sandy FigielNuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.
Freddie C HamdyNuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.
Ian G MillsNuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.
Nicholas P RederAlpenglow Biosciences, Seattle, WA, USA.
Deepti M ReddiDepartment of Laboratory Medicine & Pathology, University of Washington, Seattle, WA, USA.
Thomas G PaulsonTranslational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-3857-2683
William M GradyTranslational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Jacob E ValkDepartment of Laboratory Medicine & Pathology, University of Washington, Seattle, WA, USA.
Lawrence D TrueDepartment of Laboratory Medicine & Pathology, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-8621-9569
Michael C HaffnerDepartment of Laboratory Medicine & Pathology, University of Washington, Seattle, WA, USA.
Srinivasa R RaoNuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.
Dan J WoodcockNuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.
Jonathan T C LiuDepartment of Bioengineering, Stanford University, Stanford, CA, USA. jonliu@stanford.edu.ORCID http://orcid.org/0000-0001-5650-3086

Funding

U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01DK138948, R21CA259687, U2CCA271902, R01CA266386, R01CA140657, R01CA270235U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01DK138948, U01CA152756, U2CCA271902, U54CA163060, U01CA182940U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01EB031002, R01CA268207, R01DK138948, U54DK137328
6 · The paper itself

Abstract

Traditional micro- and macrodissection techniques enable the extraction of localized regions in thin tissue sections for molecular analysis. Despite the growing use of three-dimensional (3D) microscopy, analogous methods for volumetric microdissection are lacking. Here we have developed a 3D microdissection method based on computer numerical controlled milling integrated with open-top light-sheet microscopy. We demonstrate the ability to study tumor evolution along convoluted 3D branching architectures, which is inaccessible to two-dimensional methods.

Indexed as

Imaging, Three-DimensionalMicrodissectionAnimalsHumansMicroscopy

Identifiers

PMID42332091

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.