Evidence map›Paper›PMID 42179916›Full record

ArticleComputational and structural biotechnology journal2026

Rapid 3D Immunolabeling and Light Sheet Microscopy for Quantitative Analysis of Intact Tissues.

Junyu Chen, Zhangfan Ding, Lincoln Biswas, Jessica De Angelis, Alexandros Chatzis, Anjali P Kusumbe

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Junyu ChenTissue and Tumor Microenvironments Lab, Cancer Discovery and Regenerative Medicine Program, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.ORCID https://orcid.org/0000-0003-1717-5782
Zhangfan DingTissue and Tumor Microenvironments Lab, Cancer Discovery and Regenerative Medicine Program, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.ORCID https://orcid.org/0000-0002-1107-8861
Lincoln BiswasTissue and Tumor Microenvironments Lab, Cancer Discovery and Regenerative Medicine Program, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Jessica De AngelisTissue and Tumor Microenvironments Lab, Cancer Discovery and Regenerative Medicine Program, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Alexandros ChatzisTissue and Tumor Microenvironments Lab, Cancer Discovery and Regenerative Medicine Program, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.ORCID https://orcid.org/0000-0002-9378-3598
Anjali P KusumbeTissue and Tumor Microenvironments Lab, Cancer Discovery and Regenerative Medicine Program, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole-organ 3-dimensional (3D) imaging of intact tissues provides high-resolution cellular and molecular insights into tissue and tumor microenvironments. However, immunolabeling and tissue clearing methods remain complex and time-consuming and often rely on toxic reagents and prolonged processing times. Here, we introduce a rapid 3D immunolabeling and light sheet microscopy platform for quantitative analysis of intact murine organs and human tissues within 2 to 2.5 d. This streamlined workflow integrates antigen retrieval, permeabilization, collagenase-based digestion, immunolabeling, dehydration, and tissue clearing into a single optimized pipeline for fast and reproducible processing of intact tissues. Notably, this ultrafast 3D imaging method is optimized for exogenous fluorescence labeling, overcoming limitations associated with endogenous fluorescence in conventional tissue clearing approaches. It enables robust quantitative analysis and detection of rare cell populations, including round α-smooth muscle actin (α-SMA)-positive cells in the thymus, while preserving overall tissue integrity and maintaining compatibility with downstream histology. Using this rapid whole-tissue imaging platform, we mapped lymphatic vessel networks across multiple organs and age groups, revealing age-associated expansion in specific endocrine tissues but not in other organs. Overall, this method provides a rapid, reproducible, and versatile approach for whole-organ and intact tissue imaging, enabling comprehensive mapping of complex tissue architectures and rare cells, and advancing quantitative light sheet-based tissue analysis and disease research.

Identifiers

PMID42179916
PMCPMC13191089

What OpenQuestion holds

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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.