Cryo-electron tomography is a method used to produce 3D images of biological specimens at high resolution. Typically, the specimen is placed on a thin grid and then rapidly frozen to maintain its structure. Subsequently, an electron microscope captures images of the frozen sample from various angles, generating a series of 2D pictures.
These images require processing and visualization to extract valuable quantitative data, facilitating expedited discoveries.
Thermo Scientific Amira Software, equipped with advanced AI-powered image processing, segmentation, quantification, and reporting capabilities, can offer the insights necessary to enhance your research.
Key learning objectives
- Uncover and visualize the endomembrane system (in situ) and its spatial arrangement within a tomogram.
- Swiftly reveal and quantify the network of filaments participating in cellular processes.
- Speed up image segmentation using AI-powered tools.
About the speakers
Having earned his master's degree in marketing, Germain has continuously advanced at Thermo Fisher Scientific, leading various marketing programs across multiple markets and cross-project applications, influencing how we introduce innovative solutions to our clientele.
With over seven years of operational marketing experience, Germain now spearheads marketing programs for analytical software in the life sciences field.
Following the completion of her master's degree in biotechnology, Rosa embarked on her career by participating in various life sciences research projects that focused on characterizing and analyzing cell structures using microscope technologies and imaging software.
She holds a PhD in plant biology from the University of Neuchatel in collaboration with ETH Zurich. Recently, Rosa joined Thermo Fisher Scientific as a content marketing specialist, supporting Thermo Scientific Amira-Avizo Software.