Automated Analysis of Intracellular Dynamic Processes.
The study of intracellular dynamic processes is of fundamental importance for understanding a wide variety of diseases and developing effective drugs and therapies. Advanced fluorescence microscopy imaging systems nowadays allow the recording of virtually any type of process in space and time with super-resolved detail and with high sensitivity and specificity. The large volume and high information content of the resulting image data, and the desire to obtain objective, quantitative descriptions and biophysical models of the processes of interest, require a high level of automation in data analysis. Two key tasks in extracting biologically meaningful information about intracellular dynamics from image data are particle tracking and particle trajectory analysis. Here we present state-of-the-art software tools for these tasks and describe how to use them.
Departments of Medical Informatics and Radiology, Biomedical Imaging Group Rotterdam, Erasmus University Medical Center, 2040, 3000 CA, Rotterdam, The Netherlands.
Yao
Y
Yao
Departments of Medical Informatics and Radiology, Biomedical Imaging Group Rotterdam, Erasmus University Medical Center, 2040, 3000 CA, Rotterdam, The Netherlands.
Ihor
I
Smal
Department of Cell Biology, Faculty of Science, Utrecht University, Padualaan 8, 3584 CH, Utrecht, The Netherlands.
Ilya
I
Grigoriev
Department of Cell Biology, Faculty of Science, Utrecht University, Padualaan 8, 3584 CH, Utrecht, The Netherlands.
Maud
M
Martin
Department of Cell Biology, Faculty of Science, Utrecht University, Padualaan 8, 3584 CH, Utrecht, The Netherlands.
Anna
A
Akhmanova
Departments of Medical Informatics and Radiology, Biomedical Imaging Group Rotterdam, Erasmus University Medical Center, 2040, 3000 CA, Rotterdam, The Netherlands. meijering@imagescience.org.
Erik
E
Meijering
D001331:Automation; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008856:Microscopy, Fluorescence / Q000379:methods*; D012984:Software; D013223:Statistics as Topic / Q000379:methods
Feature extraction; Feature visualization; Fluorescence microscopy; Image analysis; Intracellular dynamics; Particle tracking; Software tools; Trajectory analysis