Thursday, September 14, 11:00 a.m. to 12:30 p.m.
Room 5
Images can aid in understanding cell structure and mechanisms. However, analyzing data from various imaging systems and modalities that use different file formats can be a daunting task. Each experiment presents a unique challenge. Multi-scale dynamic processes,for example, require the tracking of objects of various sizes, from diffraction-limited particles to entire cells, which can make identifying and quantifying sub-cellular structures that support intracellular processes seem overwhelming.
Thermo Scientific Amira Software is a powerful toolbox that enables cell biologists to visualize, process, and analyze complex biological data in 3D. With its advanced image processing, visualization, and analysis tools, Amira Software can help users gain insights into the structure and function of cells and tissues that would be impossible to see with 2D images alone.
During this workshop, you will learn how to:
- Accelerate subcellular detection and segmentation from imaging data using a range of readily available tools, including 3D deep learning model training
- Analyze multichannel images by performing fast and effective cleaning, segmentation, volume colocalization, and neighbor cell proximity
- Extract complex information in 3D and further streamline interactive segmentation pipelines
- Get faster information from image data with the Deep Learning Denoising tool and build recipes more quickly and easily
- Process even larger datasets with the Digital Volume Correlation module
- Quickly and accurately convert, visualize, and process large (~100GB) multi-channel and time series data and enhance the simulation pipeline
Speaker: Sarawuth Wantha, product expert
