Evidence map›Paper›PMID 27099372›Full record

ArticleMolecular biology of the cell2016

KymographClear and KymographDirect: two tools for the automated quantitative analysis of molecular and cellular dynamics using kymographs.

Pierre Mangeol, Bram Prevo, Erwin J G Peterman

Open access · greenAbstract read
In one paragraph

Article in Molecular biology of the cell, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 130 papers.

0numbers the graph read from it
0cells of the map it votes in
130citing papers in PubMed
30.2field-weighted citation impact, top 1% 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

130 citing papers in PubMed, 237 citations in OpenAlex.

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70 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Pierre MangeolDepartment of Physics and Astronomy and LaserLaB Amsterdam, Vrije Universiteit Amsterdam, Amsterdam NH 1081HV, Netherlands.
Bram PrevoDepartment of Physics and Astronomy and LaserLaB Amsterdam, Vrije Universiteit Amsterdam, Amsterdam NH 1081HV, Netherlands.
Erwin J G PetermanDepartment of Physics and Astronomy and LaserLaB Amsterdam, Vrije Universiteit Amsterdam, Amsterdam NH 1081HV, Netherlands e.j.g.peterman@vu.nl.
Vrije Universiteit Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dynamic processes are ubiquitous and essential in living cells. To properly understand these processes, it is imperative to measure them in a time-dependent way and analyze the resulting data quantitatively, preferably with automated tools. Kymographs are single images that represent the motion of dynamic processes and are widely used in live-cell imaging. Although they contain the full range of dynamics, it is not straightforward to extract this quantitative information in a reliable way. Here we present two complementary, publicly available software tools, KymographClear and KymographDirect, that have the power to reveal detailed insight in dynamic processes. KymographClear is a macro toolset for ImageJ to generate kymographs that provides automatic color coding of the different directions of movement. KymographDirect is a stand-alone tool to extract quantitative information from kymographs obtained from a wide range of dynamic processes in an automated way, with high accuracy and reliability. We discuss the concepts behind these software tools, validate them using simulated data, and test them on experimental data. We show that these tools can be used to extract motility parameters from a diverse set of cell-biological experiments in an automated and user-friendly way.

Indexed as

Cell MovementImage Processing, Computer-AssistedMolecular Dynamics SimulationReproducibility of ResultsSoftware

Identifiers

PMID27099372
PMCPMC4907728
OpenAlexW2339584655

What OpenQuestion holds

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LicenceCC BY-NC-SA
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.