Evidence map›Paper›PMID 26503371›Full record

ArticleBMC bioinformatics2015

CytoSpectre: a tool for spectral analysis of oriented structures on cellular and subcellular levels.

Kimmo Kartasalo, Risto-Pekka Pölönen, Marisa Ojala, Jyrki Rasku, Jukka Lekkala, Katriina Aalto-Setälä, Pasi Kallio

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
5.8field-weighted citation impact, top 5% of its field
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

32 citing papers in PubMed, 59 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Kimmo KartasaloDepartment of Automation Science and Engineering, Tampere University of Technology, BioMediTech, Tampere, Finland. kimmo.kartasalo@uta.fi.
Risto-Pekka PölönenUniversity of Tampere, BioMediTech, Tampere, Finland. risto-pekka.polonen@staff.uta.fi.
Marisa OjalaUniversity of Tampere, BioMediTech, Tampere, Finland. marisa.ojala@uta.fi.
Jyrki RaskuSchool of Information Sciences, University of Tampere, Tampere, Finland. jyrki.rasku@uta.fi.
Jukka LekkalaDepartment of Automation Science and Engineering, Tampere University of Technology, BioMediTech, Tampere, Finland. jukka.lekkala@tut.fi.
Katriina Aalto-SetäläUniversity of Tampere, BioMediTech, Tampere, Finland. katriina.aalto-setala@uta.fi.
Pasi KallioDepartment of Automation Science and Engineering, Tampere University of Technology, BioMediTech, Tampere, Finland. pasi.kallio@tut.fi.
Tampere University · FITampere University · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOrientation and the degree of isotropy are important in many biological systems such as the sarcomeres of cardiomyocytes and other fibrillar structures of the cytoskeleton. Image based analysis of such structures is often limited to qualitative evaluation by human experts, hampering the throughput, repeatability and reliability of the analyses. Software tools are not readily available for this purpose and the existing methods typically rely at least partly on manual operation.

resultsWe developed CytoSpectre, an automated tool based on spectral analysis, allowing the quantification of orientation and also size distributions of structures in microscopy images. CytoSpectre utilizes the Fourier transform to estimate the power spectrum of an image and based on the spectrum, computes parameter values describing, among others, the mean orientation, isotropy and size of target structures. The analysis can be further tuned to focus on targets of particular size at cellular or subcellular scales. The software can be operated via a graphical user interface without any programming expertise. We analyzed the performance of CytoSpectre by extensive simulations using artificial images, by benchmarking against FibrilTool and by comparisons with manual measurements performed for real images by a panel of human experts. The software was found to be tolerant against noise and blurring and superior to FibrilTool when analyzing realistic targets with degraded image quality. The analysis of real images indicated general good agreement between computational and manual results while also revealing notable expert-to-expert variation. Moreover, the experiment showed that CytoSpectre can handle images obtained of different cell types using different microscopy techniques. Finally, we studied the effect of mechanical stretching on cardiomyocytes to demonstrate the software in an actual experiment and observed changes in cellular orientation in response to stretching.

conclusionsCytoSpectre, a versatile, easy-to-use software tool for spectral analysis of microscopy images was developed. The tool is compatible with most 2D images and can be used to analyze targets at different scales. We expect the tool to be useful in diverse applications dealing with structures whose orientation and size distributions are of interest. While designed for the biological field, the software could also be useful in non-biological applications.

Indexed as

Microscopy, FluorescenceSoftwareCell DifferentiationCoculture TechniquesCytoskeletonFourier AnalysisHumansImage Processing, Computer-AssistedInduced Pluripotent Stem CellsMyocytes, CardiacStress, Mechanical

Identifiers

PMID26503371
PMCPMC4624586
OpenAlexW1913523035

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.