Evidence map›Paper›PMID 38232279›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Quantifying local stiffness and forces in soft biological tissues using droplet optical microcavities.

Gregor Pirnat, Matevž Marinčič, Miha Ravnik, Matjaž Humar

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Closing the Loop: High-Precision 3D Photofabrication in Living Tissues.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Laser-emitting aqueous bioreactors for ultrasensitive bioactivity analysis.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. Quantifying local stiffness and forces in soft biological tissues using droplet optical microcavities.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  8. Review
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.

Gregor Pirnat *Condensed Matter Department, J. Stefan Institute, Ljubljana SI-1000, Slovenia.ORCID 0000-0002-7874-1015
Matevž Marinčič *Condensed Matter Department, J. Stefan Institute, Ljubljana SI-1000, Slovenia.ORCID 0000-0002-3868-7704
Miha RavnikCondensed Matter Department, J. Stefan Institute, Ljubljana SI-1000, Slovenia.ORCID 0000-0001-8883-9318
Matjaž HumarCondensed Matter Department, J. Stefan Institute, Ljubljana SI-1000, Slovenia.ORCID 0000-0003-3338-6723

Funding

EC | European Research Council (ERC) 851143Human Frontier Science Program (HFSP) RGY0068/2020Javna Agencija za Raziskovalno Dejavnost RS (ARRS) J1-1697 N1-0195 J1-2462 PR-08969 P1-0099
6 · The paper itself

Abstract

Mechanical properties of biological tissues fundamentally underlie various biological processes and noncontact, local, and microscopic methods can provide fundamental insights. Here, we present an approach for quantifying the local mechanical properties of biological materials at the microscale, based on measuring the spectral shifts of the optical resonances in droplet microcavities. Specifically, the developed method allows for measurements of deformations in dye-doped oil droplets embedded in soft materials or biological tissues with an error of only 1 nm, which in turn enables measurements of anisotropic stress inside tissues as small as a few pN/μm

Indexed as

VibrationElastic ModulusHumansbiological tissuesliquid inclusionsmicrodropletsstiffnesswhispering gallery modes

Identifiers

PMID38232279
PMCPMC10823245

What OpenQuestion holds

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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.