Evidence map›Paper›PMID 41155282›Full record

ArticleInternational journal of molecular sciences2025

A Semi-Automatic Tool for the Standardized Analysis of Fluorescent Intensity Changes in Polarized Cells.

Fruzsina Fazekas, Tibor Zelles, Eszter Berekméri

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. 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.

Fruzsina FazekasDepartment of Oral Biology, Semmelweis University, 1089 Budapest, Hungary.ORCID 0009-0007-8799-7411
Tibor ZellesDepartment of Oral Biology, Semmelweis University, 1089 Budapest, Hungary.ORCID 0000-0002-0357-0469
Eszter BerekmériDepartment of Oral Biology, Semmelweis University, 1089 Budapest, Hungary.ORCID 0000-0002-9752-7882

Funding

Ministry of Culture and Innovation of Hungary from the National Research, Development and Innovation Fund 2024-2.1.1-EKÖP-2024-00018University of Veterinary Medicine Budapest SRF-001
6 · The paper itself

Abstract

Imaging of intracellular messengers, like calcium, is one of the most reliable methods to follow real-time changes in several aspects of cellular activity, like receptor activation. However, the analysis could be influenced and biased by several factors like the location, shape, and size of the regions of interest (ROIs) and by the detection and correction of the movement of the preparation. Programs which are provided by the manufacturers are expensive and cannot be shared by collaborators. Many self-made programs have been implemented lately which have in-built cell recognizer ROI identification functions. These programs focus on the soma of the cells and neglect the processes, because in full tissue preparation finding cells is still challenging. Subcellular imaging experiments are still rare. To the best of our knowledge there is no program which can automatically define ROIs for subcellular imaging experiments even in single indicated cells with complex morphology. We developed and validated a program to address this gap using simple and understandable mathematical methods for ROI determination and simple statistics for movement correction. Validation experiments were conducted on cochlear Deiters' cells. Deiters' cells have processed morphology which connects two fluid compartments in the cochlea. Because of the function and the fine morphology of the cell, it could be interesting to examine the subcellular Ca

Indexed as

Cell PolarityImage Processing, Computer-AssistedAnimalsCalciumMiceMicroscopy, FluorescenceSoftwareCalciumCa2+ imagingROI determinationsingle cell

Identifiers

PMID41155282
PMCPMC12563114

What OpenQuestion 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 OpenQuestion graph.