Mitochondria are complex networks that are highly variable, both between cell lines and within cell populations. Reliably quantifying the structures of these organelles therefore represents a considerable analytical challenge, requiring both excellent image resolution and the ability to extract hundreds of different parameters that can accurately describe complex forms.
In this case study, Dr. Chris Bakal and Dr. Julia Sero from the Institute of Cancer Research (ICR) in London, have validated the use of advanced morphological and texture analysis features in the Columbus™ Image Data Storage and Analysis System (now superseded by Signals Image Artist™) to quantify the effects of chemotherapeutic compounds on mitochondria morphology in breast cancer cells.