Tracking of Particles in Fluorescence Microscopy Images Using a Spatial Distance Model for Brownian Motion

R. Spilger, J. Hellgoth, J.-Y. Lee, S. Hanselmann, D.-P. Herten, R. Bartenschlager, K. Rohr

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Automatic tracking of particles in fluorescence microscopy images is an important task to quantify the dynamic behavior of subcellular and virus structures. We present a novel iterative approach for tracking multiple particles in microscopy data based on a spatial distance model derived under Brownian motion. Our approach exploits the information that the most likely object position at the next time point is at a certain distance from the current position. Information from all particles in a temporal image sequence are combined and all motion-specific parameters are automatically estimated. Experiments using data of the Particle Tracking Challenge as well as real live cell microscopy data displaying hepatocyte growth factor receptors and virus structures show that our approach outperforms previous methods.

Original languageEnglish
Title of host publicationProceedings - International Symposium on Biomedical Imaging
Number of pages4
ISBN (Electronic)9781538693308
Publication statusPublished - 2020

Publication series

NameProceedings - International Symposium on Biomedical Imaging
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Bibliographical note

Funding Information:
Acknowledgments: This work is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - Projektnummer 240245660 - SFB 1129 (projects Z4, P11). JYL and RB acknowledge the microscopy support from the Infectious Diseases Imaging Platform at the CIID, Heidelberg. We thank Leonid Kostrykin for fruitful discussions.

Publisher Copyright:
© 2020 IEEE.


  • Biomedical imaging
  • Brownian motion
  • chi distribution
  • microscopy images
  • particle tracking

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging


Dive into the research topics of 'Tracking of Particles in Fluorescence Microscopy Images Using a Spatial Distance Model for Brownian Motion'. Together they form a unique fingerprint.

Cite this