Using Spatial Biology & Advanced Image Analysis Solutions to Decipher Tumor Microenvironment and the Drivers of Cancer Progression by Mass Spectrometry Imaging (MSI) and Imaging Mass Cytometry (IMC)
Learn how MSI and IMC are advancing spatial biology through integration with other imaging and omic analyses
SUMMARY
LEARNING OBJECTIVES
Presenters
GREGORY HAMM
DIRECTOR, INTEGRATED IMAGING SCIENCES, IMAGING & DATA ANALYTICS
Gregory Hamm (PhD) is a Director at AstraZeneca (AZ) from the Imaging & Data Analytics team in Clinical & Pharmaceutical Safety Sciences (CPSS). He holds a PhD in physics and chemistry from the Paul Verlaine University of Metz (France) in 2010. As R&D manager in the Mass Spectrometry Imaging (MSI) department of ImaBiotech from 2010 to 2016, he developed a new methodology for quantification by MSI (patented and published extensively) and coordinated international research program for the company. Since 2016, he’s supporting AstraZeneca portfolio using a range of advanced imaging technology including MSI, Imaging Mass Cytometry (IMC), Spatial Transcriptomics and digital pathology. He has extensive experience in supporting projects for safety and efficacy studies and is therapy area lead for Respiratory & Immunology. He’s the author of over 40 peer reviewed papers in the field these last 11 years and as chairman of the MSI study group for the European Society of Molecular Imaging (ESMI) he strives to promote the multimodality MSI to wider imaging community.
DANIEL SUTTON
ASSOCIATE DIRECTOR, IMAGING SCIENCES, UK IMAGING HUB
Daniel Sutton (MSc) is an Associate Director at AstraZeneca (AZ) from the Imaging & Data Analytics team in Clinical & Pharmaceutical Safety Sciences (CPSS). He holds a MSc in Cellular Pathology from University of Westminster (UK). He started his career in the NHS working as a Biomedical Scientist at James Paget and Norfolk & Norwich University Hospitals. He then moved into the private sector and has previously worked in pathology departments for UCB and Novartis as well as providing pathology and image analysis support in start-ups and medium size companies. Daniel Joined AZ in 2015 and has been instrumental in bring image analysis to bear within the array of projects and realizing the potential of Deep Learning in pathology image analysis. He supports image analysis across a wide range of modalities including H&E, IHC, MSI, IMC, mIF, He has presented at previous Indica labs user groups and webinars and is enthusiastic to expand the understanding of pathology image analysis.
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