Data is THE hot topic in imaging these days. That’s why we’ve planned a two-part Special Edition of the Virtual Pub to cover the topic of “DATA” in Biological & Biomedical Imaging. These events will each be 2-hours long and will feature short presentations from academics and industry showcasing a range of image data management and analysis solutions for Biological & Biomedical imaging.

Part 1 on 9th July was a great success, and Frances Wong from University of Dundee won the prize for best presentation (as voted by the audience) for her talk “Making BioImage Data FAIR on a Global Scale: The Image Data Resource”. 

Part 2 of our Special Edition Virtual Pub Part 1 on the topic of “DATA in biological and biomedical imaging” will take place on Friday 9th September 2022.

From visualising 3D and 4D data to autonomous microscopy to deep learning – there is something for everyone, so don’t miss out!

With speakers from academia and industry and again a prize for the best short presentation voted for by our audience!


13:00-13:10 Welcome and Intro
13:10-13:25 Kinetically consistent data assimilation for plant PET sparse Time Activity Curve signals – Nicola D’Ascenzo, Instituto Neurologico Mediterraneo NEUROMED IRCCS
13:25-13:40 Nucleome Browser: An integrative and multimodal data navigation platform for 4D Nucleome – Yang Zhang, Carnegie Mellon University
13:40-13:55 Exploring high-content microscopic data  – Mike Woerdemann, Olympus Soft Imaging Solutions
13:55-14:10 Learning from users how to gain insights from microscopy images – a case study for applied AI towards autonomous image analysis – Luciano Lucas, Leica Microsystems
14:10-14:25 Spatial plot – new way to understand your microscopy data – Anna Paszulewicz, Imaris – Oxford Instruments
14:25-14:40 Piximi – a deep learning images to discovery tool – Beth Cimini, Broad Institute
14:40-14:45 Voting on the best presentation and Wrap-Up

all times are CEST



Welcome and Intro


Cloud-based interactive image data exploration with the Image Data Explorer – Jean-Karim Hériché, EMBL


Making BioImage Data FAIR on a Global Scale: The Image Data Resource – Frances Wong, University of Dundee


Multi-beam EM revolution – more data to insight Gerard Rauwerda, Technolution B.V.


HIVE- Efficient image data workflows – Peter Zehetmayer, ACQUIFER Imaging GmbH


Development and evaluation of an automatic approach for identification and assessment of Tumor-Infiltrating Lymphocytes in Breast Cancer – Valentina Brancato, IRCCS Synlab SDN


XNAT-PIC: Extending XNAT to Preclinical Imaging Centers – Riccardo Gambino, Universita degli Studi di Torino


Voting for the best presenter & Wrap-up

all times are CEST