Evidence map›Paper›PMID 42368019›Full record

ArticlebioRxiv : the preprint server for biology2026

Label-Free All-Electrical Tracking of Individual and Collective Cell Migration on a Megapixel CMOS Capacitance Sensor.

Hyuntae Jeong, Pushkaraj Joshi, Yinshi Hu, Jiwon Kim, Anh Hoang Vu, Jacob K Rosenstein, Ian Y Wong

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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.

Hyuntae JeongSchool of Engineering, Brown University. 184 Hope St Box D. Providence, Rhode Island, USA.
Pushkaraj JoshiSchool of Engineering, Brown University. 184 Hope St Box D. Providence, Rhode Island, USA.
Yinshi HuSchool of Engineering, Brown University. 184 Hope St Box D. Providence, Rhode Island, USA.
Jiwon KimSchool of Engineering, Brown University. 184 Hope St Box D. Providence, Rhode Island, USA.
Anh Hoang VuSchool of Engineering, Brown University. 184 Hope St Box D. Providence, Rhode Island, USA.
Jacob K RosensteinSchool of Engineering, Brown University. 184 Hope St Box D. Providence, Rhode Island, USA.
Ian Y WongSchool of Engineering, Brown University. 184 Hope St Box D. Providence, Rhode Island, USA.ORCID 0000-0002-9439-2548

Funding

Mechanobiology of Vimentin Intermediate Filaments in 3D Collective Cell MigrationR01GM140108 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GUO, MING, WONG, IAN Y · 2021 to 2025
$2.3M
NIGMS NIH HHS R01 GM140108
6 · The paper itself

Abstract

Label-free tracking of adherent cell migration could enable important insights into biological processes such as tissue repair, inflammatory response, or cancer progression. Nevertheless, visualizing unlabeled animal cells using optical microscopy remains challenging due to low contrast as well as frequent changes in cell shape and number. A promising alternative uses electrical capacitance measurements, which are sensitive to cell adhesion to electrode surfaces. However, prior examples often utilized electrodes with areas larger than single cells, resulting in averaged readouts over multiple cells. Here, we demonstrate label-free, live-cell tracking using a capacitance sensor array with more than 1 million pixels on a 10 micron pitch across an area larger than 1 square centimeter. We show that single cell morphology can be clearly segmented, and then used to reconstruct migration and proliferation dynamics using optical flow. We further track the spreading of multicellular spheroids, revealing fast-moving peripheral regions led by a collective leader cell "front." Finally, we demonstrate label-free imaging of millimeter-scale honeycomb-shaped tissues without the multi-image stitching often required for conventional microscopy. We utilize mutual capacitance measurements with electrically-programmable electrode spacing to reconstruct topographical features of these engineered tissues. Overall, CMOS capacitance imaging arrays enables label-free imaging spanning from single cells to large tissues, in a portable and scalable format for settings where optical microscopy may be difficult to access.

Identifiers

PMID42368019
PMCPMC13308053

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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.