Understanding cell structure and mechanisms requires analysis of data from various imaging systems and modalities that all use different file formats. Each experimental setup can generate a unique challenge to process the data. Multi-scale dynamic processes require tracking of various sized objects, from diffraction-limited particles to entire cells. There can be a few dozen to tens thousands of objects in each data set. In addition, intracellular processes are supported by sub-cellular structures that also need to be identified and quantified.
Thermo Scientific Amira Software provides a comprehensive array of tools for the flexible and accurate analysis of time series data of cellular mechanisms. It enables researchers to perform dedicated segmentation workflows on their intra- and intercellular images and apply powerful automated object tracking solution.
Learn more about Amira Software ›