Introduction to Volume EM: from image acquisition to analysis

Volume Electron Microscopy (VolumeEM) offers high-resolution 3D visualization of biological structures, allowing researchers to study intricate details of cells and tissues. It is a versatile tool for life science research, applicable to a wide range of specimens from cells to whole organisms. 3D image analysis of VolumeEM data enables quantitative measurement of structural features, volume calculations, and detailed morphometric analyses, facilitating a deeper understanding of biological processes and aiding in the development of new scientific insights and medical advancements. Join our webinar to explore the different VolumeEM modalities and discover effective image analysis workflows. One of the key highlights will be the use of AI-powered tools in Amira for improved denoising and segmentation. These advanced image analysis tools enhance the capability to accurately and time-efficiently analyze complex structures within volumetric data, while making the process more accessible even for non-experts. The session will cover strategies to balance resolution and contrast during acquisition, ensuring that fine details are captured without compromising the clarity of the overall image. Participants will learn how to reduce noise and imaging artifacts, and achieve precise alignment and registration of image stacks to create coherent 3D volumes. Additionally, we will discuss methods for extracting quantitative data, such as measurements of structures and volume calculations, using robust algorithms and validation techniques.