Evidence map›Paper›PMID 41610988›Full record

ArticleBiophysical reports2026

Optical imaging of subcellular fluctuations within hair cells.

Martín A Toderi, Dzmitry Vaido, Dolores Bozovic

Abstract read
In one paragraph

Article in Biophysical reports, 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

3 authors.

Martín A ToderiDepartment of Physics & Astronomy, University of California, Los Angeles, Los Angeles, California. Electronic address: mtoderi@physics.ucla.edu.
Dzmitry VaidoDepartment of Physics & Astronomy, University of California, Los Angeles, Los Angeles, California.
Dolores BozovicDepartment of Physics & Astronomy, University of California, Los Angeles, Los Angeles, California; California NanoSystems Institute, University of California, Los Angeles, Los Angeles, California.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although the transduction process has been well studied in hair cells, the possible presence of mechanical perturbations in the hair cell soma has not been explored in nonmammalian species. Hair cell mechanotransduction involves rapid biophysical events that remain difficult to observe in intact tissue. We developed a label-free optical method to image active motility within the soma during both spontaneous and mechanically driven hair bundle motion. Localized light-intensity fluctuations were detected at distinct focal planes, particularly near the periphery and basal pole of the soma. These optical signals exhibited spectral components that matched those of the hair bundle and were substantially reduced when mechanotransduction channel gating was disrupted, indicating that the somatic activity reflects physiological processes linked to mechanotransduction. Activity hotspots consistently aligned with regions of ionic channels and synaptic contacts, and strong stimulation produced phase-locked somatic responses that diminished after tip-link disruption. These findings parallel reports of mechanical correlates of neuronal activity and support the presence of an optical signature of transduction within the soma. Our results demonstrate that wide-field, label-free imaging can resolve intrinsic optical events in semi-intact sensory epithelia, offering a promising approach for noninvasive studies of hair cell and afferent-neuron signaling.

Indexed as

Hair Cells, AuditoryOptical ImagingAnimalsMechanotransduction, CellularRana catesbeiana

Identifiers

PMID41610988
PMCPMC12908047

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.