Analysis method tracks biological particles in cell microscopy images

A team of scientists at Heidelberg University and the German Cancer Research Center (also in Heidelberg, Germany) has developed a powerful particle analysis technique for live cell microscopy images. This so-called probabilistic particle tracking method is automatic, computer-based, and can be used for time-resolved two- and three-dimensional (2D and 3D) microscopy image data.

Related: NIR quantitative phase imaging visualizes cellular dynamics through silicon

Automatically tracking the movement of biological particles such as viruses, cell vesicles, or cell receptors is of key importance in biomedical applications for quantitative analysis of intracellular dynamic processes. But manually analyzing time-resolved microscopy images with hundreds or thousands of moving objects is not feasible. Recognizing this, the research team—including Dr. William J. Godinez and associate professor Dr. Karl Rohr of the Biomedical Computer Vision group at Heidelberg's BioQuant Center—developed a particle tracking technique that is based on a mathematically sound method from probability theory that takes into account uncertainties in the image data (such as 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 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.

Full details of the research team's work appear in the journal Nature Methods; for more information, please visit http://dx.doi.org/10.1038/nmeth.2808.

-----

Follow us on Twitter, 'like' us on Facebook, and join our group on LinkedIn

Subscribe now to BioOptics World magazine; it's free!

Get All the BioOptics World News Delivered to Your Inbox

Subscribe to BioOptics World Magazine or email newsletter today at no cost and receive the latest news and information.

 Subscribe Now
Related Articles

Fluorescent jellyfish proteins light up unconventional laser

Safer lasers to map your cells could soon be in the offing -- all thanks to the humble jellyfish. Conventional lasers, like the pointer you might use to entertain your cat, produce light by emittin...

Fluorescence microscopy helps provide new insight into how cancer cells metastasize

By using fluorescence microscopy, scientists have discovered an alternate theory on how some cancer cells metastasize.

In vivo imaging method visualizes bone-resorbing cell function in real time

In vivo imaging can visualize sites where osteoclasts (bone-resorbing cells) were in the process of resorbing bone.

Flow cytometry analyzes cell population to predict cancer immunotherapy response

Flow cytometry helped find that the amount of white blood cells in melanoma tumors can predict response to a cancer therapy.

BLOGS

Neuro15 exhibitors meet exacting demands: Part 2

Increasingly, neuroscientists are working with researchers in disciplines such as chemistry and p...

Why be free?

A successful career contributed to keeping OpticalRayTracer—an optical design software program—fr...

LASER Munich 2015 is bio-bent

LASER World of Photonics 2015 included the European Conferences on Biomedical Optics among its si...

White Papers

Understanding Optical Filters

Optical filters can be used to attenuate or enhance an image, transmit or reflect specific wavele...

How can I find the right digital camera for my microscopy application?

Nowadays, image processing is found in a wide range of optical microscopy applications. Examples ...

CONNECT WITH US

            

Twitter- BioOptics World

Copyright © 2007-2016. PennWell Corporation, Tulsa, OK. All Rights Reserved.PRIVACY POLICY | TERMS AND CONDITIONS