Evidence map›Paper›PMID 42707053›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2026

Rapid Fabrication of Sub-100 µm Microstructures In Situ via Femtosecond Laser for Correlative Imaging of Rare Cells.

Aristide Djoulde, Yaping Chen, Vahid R Adineh, Yang Liu, Boyin Liu, Di Yu, Jing Fu

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 2026. 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

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

7 authors.

Aristide DjouldeDepartment of Mechanical and Aerospace Engineering, Monash University, Clayton, Victoria, Australia.ORCID https://orcid.org/0000-0002-1944-8919
Yaping ChenOujiang Laboratory, Zhejiang Lab for Regenerative Medicine, Vision and Brain Health, Wenzhou, Zhejiang, China.
Vahid R AdinehMelbourne Centre for Nanofabrication, Victorian Node of the Australian National Fabrication Facility, Clayton, Victoria, Australia.
Yang LiuMonash Centre for Electron Microscopy, Monash University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0002-0750-7571
Boyin LiuBioimaging Platform, La Trobe University, Melbourne, Victoria, Australia.
Di YuFrazer Institute, Faculty of Health, Medicine and Behaviour Sciences, The University of Queensland, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0003-1721-8922
Jing FuDepartment of Mechanical and Aerospace Engineering, Monash University, Clayton, Victoria, Australia.ORCID https://orcid.org/0000-0002-7752-5417

Funding

Australian Research Council (DP180103955)Australian Research Council DP180103955Australian Research Council LE0882821Australian Research Council LE200100132Wenzhou High Level Innovation Team Program 2024R2001Zhejiang Provincial Department of Science and Technology 2025R01025
6 · The paper itself

Abstract

Correlative light, electron, and ion microscopy provides a powerful multiscale framework for analyzing single cells, but integrating these methods remains challenging due to divergent specimen preparation requirements, especially for rare cell populations where low yield and sample loss limit success. Herein, we introduce a femtosecond (fs) laser ablation strategy that enables rapid material removal and targeted fabrication of 3D sub-100-µm microstructures on resin-embedded biological substrates. The workflow is demonstrated using flow-sorted mouse CD4

Indexed as

LasersAnimalsMiceMicroscopy, Electron, Scanningcorrelative microscopyfemtosecond lasermicropillarsrare cellssub‐100 µm microstructuresT‐cell subsets

Identifiers

PMID42707053
PMCPMC13725396

What OpenQuestion holds

Textmetadata
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.