Forum for Science, Industry and Business

Sponsored by:     3M 
Search our Site:

 

Automatic Tracking of Biological Particles in Cell Microscopy Images

25.03.2014

Heidelberg scientists develop powerful automatic method for image analysis

In order to track the movements of biological particles in a cell, scientists at Heidelberg University and the German Cancer Research Center have developed a powerful analysis method for live cell microscopy images.


Tracking result for virus particles

Source: W.J. Godinez, K. Rohr


Tracking result for virus particles – an enlarged section

Source: W.J. Godinez, K. Rohr

This so-called probabilistic particle tracking method is automatic, computer-based and can be used for time-resolved two- and three-dimensional microscopy image data. The Heidelberg method achieved the best overall result in an international competition that compared different methods for image analysis. The competition results were recently published in the journal “Nature Methods”.

The task of how to automatically track the movement of biological particles such as viruses, cell vesicles or cell receptors is of key importance in biomedical applications for the quantitative analysis of intracellular dynamic processes. Manually analysing time-resolved microscopy images with hundreds or thousands of moving objects is not feasible.

In recent years, therefore, there has been increasing emphasis on the development of automatic image analysis methods for particle tracking. These methods are computer-based and determine the positions of particles over time. To objectively compare the performance of these methods, an international competition was organised in 2012 for the first time.

A total of 14 research teams participated in the “Particle Tracking Challenge”, including Dr. William J. Godinez and Associate Professor Dr. Karl Rohr from Heidelberg University and the German Cancer Research Center (DKFZ). In the competition, the different image analysis methods were applied to a broad spectrum of two- and three-dimensional image data and their performance was quantified using different measures. The three best methods were determined for each category of data. With a total of 150 “Top 3 Rankings”, the Heidelberg scientists achieved the best overall result.

The particle tracking method developed by Dr. Godinez and Dr. Rohr is based on a mathematically sound method from probability theory that takes into account uncertainties in the image data, e.g. due to noise, and exploits knowledge of the application domain. “Compared to deterministic methods, our probabilistic approach achieves high accuracy, especially for complicated image data with a large number of objects, high object density and a high level of noise,” says Dr. Rohr. The method enables determining the movement paths of objects and quantifies relevant parameters such as speed, path length, motion type or object size. In addition, important dynamic events such as virus-cell fusions are detected automatically.

Karl Rohr heads the “Biomedical Computer Vision“ (BMCV) research group that develops computer science methods to automatically analyse cell microscopy images as well as radiological images. This group is located at the BioQuant Center of Heidelberg University. It is part of the department “Bioinformatics and Functional Genomics“ at Heidelberg University's Institute of Pharmacy and Molecular Biotechnology as well as the division “Theoretical Bioinformatics“ of the DKFZ, both of which are headed by Prof. Dr. Roland Eils. William J. Godinez is pursuing postdoctoral work in the BMCV group on the development of computer-based particle tracking methods.

Internet information:
http://www.bioquant.uni-heidelberg.de/bmcv

Publication in Nature Methods:
N. Chenouard, I. Smal, F. de Chaumont, M. Maška, I.F. Sbalzarini, Y. Gong, J. Cardinale, C. Carthel, S. Coraluppi, M. Winter, A.R. Cohen, W.J. Godinez, K. Rohr, Y. Kalaidzidis, L. Liang, J. Duncan, H. Shen, Y. Xu, K.E.G. Magnusson, J. Jaldén, H.M. Blau, P. Paul-Gilloteaux, P. Roudot, C. Kervrann, F. Waharte, J.Y. Tinevez, S.L. Shorte, J. Willemse, K. Celler, G.P. van Wezel, H.W. Dan, Y.S. Tsai, C. Ortiz de Solórzano, J.C. Olivo-Marin, E. Meijering: Objective comparison of particle tracking methods. Nature Methods (March 2014), Volume 11, Issue 3, 281-289, doi: 10.1038/nmeth.2808

Captions:
Particle_Tracking_1.jpg und Particle_Tracking_2.jpg
Tracking result for virus particles. Microscopy image of time-resolved data overlaid with automatically determined movement paths of HIV-1 particles, shown in different colours. The small boxes indicate the positions found at the current time point. Image two shows an enlarged section of the area marked by the white rectangle in image one.
Source: W.J. Godinez, K. Rohr

Contact:
Associate Professor Dr. Karl Rohr
“Biomedical Computer Vision” research group
Phone: +49 6221 51-298
k.rohr@uni-hd.de, k.rohr@dkfz.de

Communications and Marketing
Press Office, phone: +49 6221 54-2311
presse@rektorat.uni-heidelberg.de

Marietta Fuhrmann-Koch | idw - Informationsdienst Wissenschaft

Further reports about: Automatic Cancer Cell Microscopy Tracking methods movement particles three-dimensional

More articles from Life Sciences:

nachricht Fruit fly studies shed light on adaptability of nerve cells
17.04.2015 | Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE)

nachricht Rare monkey photographed in Congo's newest national park, Ntokou-Pikounda
17.04.2015 | Wildlife Conservation Society

All articles from Life Sciences >>>

The most recent press releases about innovation >>>

Die letzten 5 Focus-News des innovations-reports im Überblick:

Im Focus: Astronomers reveal supermassive black hole's intense magnetic field

Astronomers from Chalmers University of Technology have used the giant telescope Alma to reveal an extremely powerful magnetic field very close to a supermassive black hole in a distant galaxy

Astronomers from Chalmers University of Technology have used the giant telescope Alma to reveal an extremely powerful magnetic field very close to a...

Im Focus: A “pin ball machine” for atoms and photons

A team of physicists from MPQ, Caltech, and ICFO proposes the combination of nano-photonics with ultracold atoms for simulating quantum many-body systems and creating new states of matter.

Ultracold atoms in the so-called optical lattices, that are generated by crosswise superposition of laser beams, have been proven to be one of the most...

Im Focus: UV light robot to clean hospital rooms could help stop spread of 'superbugs'

Can a robot clean a hospital room just as well as a person?

According to new research out of the Texas A&M Health Science Center College of Medicine, that is indeed the case. Chetan Jinadatha, M.D., M.P.H., assistant...

Im Focus: Graphene pushes the speed limit of light-to-electricity conversion

Researchers from ICFO, MIT and UC Riverside have been able to develop a graphene-based photodetector capable of converting absorbed light into an electrical voltage at ultrafast timescales

The efficient conversion of light into electricity plays a crucial role in many technologies, ranging from cameras to solar cells.

Im Focus: Study shows novel pattern of electrical charge movement through DNA

Electrical charges not only move through wires, they also travel along lengths of DNA, the molecule of life. The property is known as charge transport.

In a new study appearing in the journal Nature Chemistry, authors, Limin Xiang, Julio Palma, Christopher Bruot and others at Arizona State University's...

All Focus news of the innovation-report >>>

Anzeige

Anzeige

Event News

HHL's Entrepreneurship Conference on FinTech

13.04.2015 | Event News

World Conference On Regenerative Medicine 2015: Registration And Abstract Submission Now Open

25.03.2015 | Event News

University presidents from all over the world meet in Hamburg

19.03.2015 | Event News

 
Latest News

Engineer Improves Rechargeable Batteries with MoS2 Nano 'Sandwich'

17.04.2015 | Power and Electrical Engineering

Comparing Climate Models to Real World Shows Differences in Precipitation Intensity

17.04.2015 | Earth Sciences

A blueprint for clearing the skies of space debris

17.04.2015 | Physics and Astronomy

VideoLinks
B2B-VideoLinks
More VideoLinks >>>