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.
From visualising large data sets, storing, managing, curating & sharing data and metadata – to image analysis tools and data repositories, there is something for everyone, so don’t miss out!
Join us this Friday 8th July 2022 for our Special Edition Virtual Pub Part 1 on the topic of “DATA in biological and biomedical imaging”.
With speakers from academia and industry and a prize for the best short presentation voted for by our audience!
Part 2 will take place on 9th September!
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13:00-13:10 |
Welcome and Intro |
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13:10-13:25 |
Cloud-based interactive image data exploration with the Image Data Explorer – Jean-Karim Hériché, EMBL |
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13:25-13:40 |
Making BioImage Data FAIR on a Global Scale: The Image Data Resource – Frances Wong, University of Dundee |
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13:40-13:55 |
Multi-beam EM revolution – more data to insight Gerard Rauwerda, Technolution B.V. |
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13:55-14:10 |
HIVE- Efficient image data workflows – Peter Zehetmayer, ACQUIFER Imaging GmbH |
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14:10-14:25 |
Development and evaluation of an automatic approach for identification and assessment of Tumor-Infiltrating Lymphocytes in Breast Cancer – Valentina Brancato, IRCCS Synlab SDN |
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14:25-14:40 |
XNAT-PIC: Extending XNAT to Preclinical Imaging Centers – Riccardo Gambino, Universita degli Studi di Torino |
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14:40-14:50 |
Voting for the best presenter & Wrap-up |
all times are CEST
|
13:00-13:10 |
Welcome and Intro |
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13:10-13:25 |
Kinetically consistent data assimilation for plant PET sparse Time Activity Curve signals – Nicola D’Ascenzo, Instituto Neurologico Mediterraneo NEUROMED IRCCS |
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13:25-13:40 |
Nucleome Browser: An integrative and multimodal data navigation platform for 4D Nucleome – Yang Zhang, Carnegie Mellon University |
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13:40-13:55 |
Exploring high-content microscopic data – Mike Woerdemann, Olympus Soft Imaging Solutions |
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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 |
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14:10-14:25 |
Spatial plot – new way to understand your microscopy data – Anna Paszulewicz, Imaris – Oxford Instruments |
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14:25-14:40 |
GliaMorph: A data analysis toolkit to quantify 3D glial cell morphology – Elisabeth Kugler, University College London |
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14:40-14:55 |
Piximi – a deep learning images to discovery tool – Beth Cimini, Broad Institute |
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14:55-15:00 |
Voting on the best presentation and Wrap-Up |
all times are CEST