Understanding Cell Structure and Mechanisms through Images

Duration: 20 min

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.

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During this webinar, you will learn how to:

• Accelerate subcellular (membrane, organelle) detection and segmentation from Electron Microscopy (TEM) data using a range of readily available tools, including 3D Deep Learning model training.
• Analyze multichannel fluorescence endothelial cell culture data by performing fast and effective cleaning, segmentation, volume colocalization and neighbor cell proximity.
• Extract complex information in 3D such as detection, segmentation and penetration of cancer or immune cells to manage multichannel High Content Screening multi-well images of organoid models.
• Quickly convert, visualize and accurately process large (~100GB) multi-channel and time series light sheet tissue imaging data.