ArticleBMC cell biology2007
Model based dynamics analysis in live cell microtubule images.
Article in BMC cell biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed.
- Quantifying Yeast Microtubules and Spindles Using the Toolkit for Automated Microtubule Tracking (TAMiT).Biomolecules · 2023Article
- Loss of CENP-F results in distinct microtubule-related defects without chromosomal abnormalities.Molecular biology of the cell · 2016Article
- Automated detection and tracking of many cells by using 4D live-cell imaging data.Bioinformatics (Oxford, England) · 2014Article
- EXTRACTION AND ANALYSIS OF ACTIN NETWORKS BASED ON OPEN ACTIVE CONTOUR MODELS.Proceedings. IEEE International Symposium on Biomedical Imaging · 2011Article
- Actin filament segmentation using dynamic programming.Information processing in medical imaging : proceedings of the ... conference · 2011Article
- Analysis of microtubule dynamic instability using a plus-end growth marker.Nature methods · 2010Article
- A generative model of microtubule distributions, and indirect estimation of its parameters from fluorescence microscopy images.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2010Article
- Actin filament segmentation using spatiotemporal active-surface and active-contour models.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2010Article
- Analysis of microtubule polymerization dynamics in live cells.Methods in cell biology · 2010Review
- Bioimage informatics: a new area of engineering biology.Bioinformatics (Oxford, England) · 2008Review
- Proceedings of the 2006 International Workshop on Multiscale Biological Imaging, Data Mining and Informatics, Santa Barbara, USA (BII06).BMC cell biology · 2007Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
backgroundThe dynamic growing and shortening behaviors of microtubules are central to the fundamental roles played by microtubules in essentially all eukaryotic cells. Traditionally, microtubule behavior is quantified by manually tracking individual microtubules in time-lapse images under various experimental conditions. Manual analysis is laborious, approximate, and often offers limited analytical capability in extracting potentially valuable information from the data.
resultsIn this work, we present computer vision and machine-learning based methods for extracting novel dynamics information from time-lapse images. Using actual microtubule data, we estimate statistical models of microtubule behavior that are highly effective in identifying common and distinct characteristics of microtubule dynamic behavior.
conclusionComputational methods provide powerful analytical capabilities in addition to traditional analysis methods for studying microtubule dynamic behavior. Novel capabilities, such as building and querying microtubule image databases, are introduced to quantify and analyze microtubule dynamic behavior.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.