Image Analysis FacilityHEAD: Florian Jug
Modern imaging techniques in light and electron microscopy and computational approaches are changing the way biomedical research is conducted. Solutions for image restoration, (semi-)automated downstream processing, smart microscopy or real-time image analysis, big data management and big data visualisation are key to the success of image- and imaging-centric research. Lots of this expertise is provided by the Image Analysis Facility of HT. Our users can focus on their respective research and are profiting from centrally provided, cutting-edge methods, tools, and services.
The central mission of the image analysis facility is to serve as knowledge incubator. Acknowledging that most of the scientific staff turns over rather rapidly, the setup of the image analysis facility addresses the following question: how can HT conserve knowledge about complex bio-image analysis workflows for its scientific community? Hence, our strategy keeps workflows and tools alive, even after their respective inventor, architect, or developer has left the Human Technopole (or has never been a part of it).
Next to this technical core support, the image analysis facility also offers teaching events for scientific staff across all backgrounds and career stages. While this is important to keep the community educated and informed, new concepts for knowledge exchange are employed. Key to our mission is to build bridges between all research centres at HT and the research communities in Italy and beyond. The image analysis facility is designed to be a place for scientists to meet, exchange ideas and experiences, and naturally also a place to be supported by the facility staff.
Due to this ‘direct access’ to the internal and external user-community, and the overview of frequently occurring analysis problems which the facility naturally gains, the identification of required solutions, and consequently, the act of making new technologies available when they are needed, are key contributions to the scientific life of all our users.
Each Human Technopole facility has specific rules and policies to determine access on behalf of internal and external scientists.
We are currently setting up our first scientific facilities. Following their opening, we will be sharing the rules for accessing our infrastructures with the national scientific community.
Research Group Leader
Damian Edward Dalle Nogare
Manager Image Analysis Facility
Image Analysis Researcher and Research Software Engineer Coordinator
Bioimage Computing and AI Researcher
12/2020 - Journal of Cell Biology
3D FIB-SEM reconstruction of microtubule–organelle interaction in whole primary mouse β cells
This collaborative work is a good example for how members of our team can collaborate with biologists and technologists to improve the quantitative analysis work required to gain insights into essential processes related to human health and pathology, in this particular case into the subcellular organization of insulin producing β cells. Microtubules play a major […]
11/2020 - Protein Science
The ImageJ ecosystem: Open‐source software for image visualization, processing, and analysis
For decades, biologists have relied on software to visualize and interpret imaging data. As techniques for acquiring images increase in complexity, resulting in larger multidimensional datasets, imaging software must adapt. ImageJ is an open‐source image analysis software platform that has aided researchers with a variety of image analysis applications, driven mainly by engaged and collaborative […]