Microscopy is a key technology driving biological discovery. Nowadays, microscopy based scientific findings must be substantiated by quantitative image analysis. The discipline concerned with such quantification of biological microscopy images is called bioimage analysis. Dr. Christian Tischer walks us through the main concepts of a typical bioimage analysis workflow. He explains how to quantitatively interpret the content of microscopy images and how to automatically detect objects in images and derive object based measurements. He also emphasizes the importance of visual inspection and quality control of automated image analysis. Finally, he presents an overview of current bioimage analysis tools and communities.
Please read the text and select all the correct answers. Multiple answers can be correct.
- Bioimage analysis can help you to
- automatically analyze large amounts of image data.
- reproducibly extract quantitative information from images.
- quantify the form and structure of cells and organisms.
- The process of detecting objects in images is called
- image restoration.
- image segmentation.
- image registration.
- The discipline of image restoration is concerned with
- measuring intensities in images.
- measuring the shapes of objects in images.
- counteracting limitations inherent to microscopy, such as the diffraction limit.
- The recommended place to ask questions about bioimage analysis is
Christian Tischer studied physics in Heidelberg, followed by Ph.D. at the European Molecular Biology Laboratory (EMBL) with Dr. Philippe Bastiaens working on microscope development and signalling in mammalian cells. Subsequently, he did a postdoc with Dr. Marileen Dogertom at AMOLF in the Netherlands, where he worked on microtubule dynamics. From 2009 until 2018, he worked… Continue Reading