PPBI is a new node of Euro-BioImaging

The new Portuguese Platform of BioImaging (PPBI) Node is a multi-sited, multimodal Node covering biological imaging.

PPBI represents the national biological microscopy imaging community of Portugal. It consists of 14 facilities, which are split into 3 geographical clusters, and are currently coordinated by the IBMC (Instituto de Biologia Molecular e Celular) in Porto.

PPBI services focus on advanced microscopy and image data analysis for a wide range of life science domains - from cell and developmental biology, to neurosciences, oncobiology, immunology, infection, and regenerative medicine.

Euro-BioImaging ERIC

"Since May 2016, Euro-BioImaging has enjoyed a successful interim operation; offering life scientists open access to imaging services across its 29 Nodes Candidates throughout Europe. The next step is ERIC (European Research Infrastructure Consortium) status, and this will be launched with at least 15 founding members: Austria, Bulgaria, Czech Republic, Denmark, Finland (the legal host), France, Hungary, Israel, Italy (site of the Med Hub), Norway, Netherlands, Portugal, Sweden, UK and the intergovernmental organisation, EMBL (site of the Bio Hub). Belgium will participate as an observer while Poland, and Spain are preparing for their participation in the near future. With their commitment, the founding members demonstrate imaging research as a national priority for at least the next five years, thereby supporting scientific flexibility and excellence across Europe."

BIOIMAGING 2021

11-13 February 2021 | Vienna - Austria 

Bioimaging is a term that covers the complex chain of acquiring, processing and visualizing structural or functional images of living objects or systems, including extraction and processing of image-related information. Examples of image modalities used in bioimaging are many, including: X-ray, CT, MRI and fMRI, PET and HRRT PET, SPECT, MEG and so on. Medical imaging and microscope/fluorescence image processing are important parts of bioimaging referring to the techniques and processes used to create images of the human body, anatomical areas, tissues, and so on, down to the molecular level, for clinical purposes, seeking to reveal, diagnose, or examine diseases, or medical science, including the study of normal anatomy and physiology. Both classic image processing methods (e.g. denoising, segmentation, deconvolution and registration methods, feature recognition and classification) and modern machine, in particular deep, learning techniques represent an indispensable part of bioimaging, as well as related data analysis and statistical tools.

More info: http://www.bioimaging.biostec.org/Home.aspx