Evidence map›Paper›PMID 18478231›Full record

ArticleJournal of mathematical biology2009

Multiple objects tracking in fluorescence microscopy.

Yannis Kalaidzidis

Abstract readComparative Study
In one paragraph

Article in Journal of mathematical biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Single Particle Tracking Photo-Activated Localization Microscopy.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  2. Computer-Assisted Tracking ofFrontiers in plant science · 2019
    Article
  3. Article
  4. Piecewise-Stationary Motion Modeling and Iterative Smoothing to Track Heterogeneous Particle Motions in Dense Environments.IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · 2017
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Optimal-Flow Minimum-Cost Correspondence Assignment in Particle Flow Tracking.Computer vision and image understanding : CVIU · 2011
    Article
  10. Article
  11. Article
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

1 author.

Yannis KalaidzidisMax-Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstrasse 108, 01307, Dresden, Germany. kalaidzi@mpi-cbg.de

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many processes in cell biology are connected to the movement of compact entities: intracellular vesicles and even single molecules. The tracking of individual objects is important for understanding cellular dynamics. Here we describe the tracking algorithms which have been developed in the non-biological fields and successfully applied to object detection and tracking in biological applications. The characteristics features of the different algorithms are compared.

Indexed as

AlgorithmsImage Processing, Computer-AssistedMicroscopy, FluorescenceSystems Biology

Identifiers

PMID18478231
PMCPMC2798991

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.