Evidence map›Paper›PMID 40556881›Full record

ArticleACS measurement science au2025

Subcellular Mechanical Imaging of Erythrocytes with Optically Correlated Scanning Ion Conductance Microscopy.

Yunong Wang, Malavika Shashishekar, Dana M Spence, Lane A Baker

Abstract read
In one paragraph

Article in ACS measurement science au, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  3. Review
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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.

Yunong WangDepartment of Chemistry, Texas A&M University, College Station, Texas 77843, United States.ORCID https://orcid.org/0000-0003-1327-4994
Malavika ShashishekarDepartment of Chemistry, Texas A&M University, College Station, Texas 77843, United States.
Dana M SpenceDepartment of Biomedical Engineering, Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, Michigan 48824, United States.ORCID https://orcid.org/0000-0002-4754-6671
Lane A BakerDepartment of Chemistry, Texas A&M University, College Station, Texas 77843, United States.ORCID https://orcid.org/0000-0001-5127-507X

Funding

From single molecule to microfluidic 3D tissue platforms: novel multiscale tools to investigate hyper-stimulated immune cells in the circulationR01NS105888 · NINDS · MICHIGAN STATE UNIVERSITY · PI Lane A. Baker, ROBERT Scott MARTIN · 2018 to 2026
$4.0M
NINDS NIH HHS R01 NS105888
6 · The paper itself

Abstract

We report mapping the mechanical properties of human red blood cells at submicron scales. Mapping is achieved via a new approach to scanning ion conductance microscopy correlated with optical microscopy. A three-point calibration and affine transformation are utilized to correlate pixel locations registered in optical images with pipette position, which facilitates initial targeting and subsequent tracking and analysis of red blood cells. By recording the response of pipette approach curves and sample compliance at each approach, maps of the Young's modulus of samples and pipette indentation are recorded at subcellular spatial resolution. Comparison of normal and diamide-treated red blood cells shows a significant increase in cell stiffness and a concomitant decrease in deformability, clearly demonstrating the quantitative abilities of the correlative approach taken here for stiffness measurements of intact cellular samples.

Indexed as

mechanical imagingnoninvasive biological imagingoptical correlationred blood cell mechanical propertiesscanning ion conductance microscopysingle-cell imaging

Identifiers

PMID40556881
PMCPMC12183587

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.