The Challenge: The Long Way from Motorization to True Automation in Imaging
by Horst Wolff, ZEISS Microscopy, Munich
Rapid developments at all levels of microscopy, such as contrast, illumination, resolution, signal detection and data processing have occurred over the last decades and there is reason to expect that these advances will continue. However, severe limitations in accuracy, reproducibility and throughput are caused by the involvement of humans in all steps of the imaging workflow. It also poses a significant burden and workload for the researcher. To improve this situation is the biggest challenge in automation.
High Throughput Live Cell Imaging: New Opportunities and Challenges
by Rainer Pepperkok et al., EMBL, Heidelberg
High throughput microscopy of fixed samples has been extensively used in the past to characterize gene function at the genome scale with excellent single cell resolution. High throughput live cell imaging, which can provide essential information about system dynamics in single cells bears additional challenges and has thus been used in only a few cases for genome scale experiments. Here we describe latest developments of the technology focussing on high throughput live cell imaging and feedback microscopy with ZEISS Celldiscoverer 7 and LSM 780.
High-Throughput, Long-Term Live Imaging: Automated Microscopy of Insect Development
by Seth Donoughe, Harvard University Extavour Lab & Sebastian Gliem, Harvard CBI, Cambridge
The study of arthropod embryogenesis can provide insight into the evolution of development mechanisms. Many aspects of development are most effectively studied by live-imaging the development of many embryos. Historically, this has been difficult, but new tools are making the collection of such datasets easier than ever.
Big Microscopy Dataset and File Management: Examples of Three Workflows Implemented at the FMI in Basel
by Laurent Gelman, FMI, Basel
New microscopy modalities, e.g. live-cell imaging, slidescanning, high-content screening and 3D-electron microscopy, associated to biological projects aiming at more quantitative data, generate datasets which are one to several orders bigger than before. To cope with this exponential growth, new workflows and important investments in IT solutions are needed. Unfortunately, there is no single workflow, nor a single computer configuration that can do it all. I present here three different workflows to exemplify the issues and some solutions that have been found in our institute.
Topic Cell Biology & Cancer Research
Probing the Molecules that Control Protein Levels in Your Cells