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UID:pretalx-surf-netwerk-cloud-event-GECT7T@pretalx.surf.nl
DTSTART;TZID=CET:20250930T113000
DTEND;TZID=CET:20250930T120500
DESCRIPTION:Smart microscopy uses real-time data and automation to make mic
 roscopes more intelligent and responsive. Instead of relying on fixed sett
 ings\, the system adapts on the fly - changing parameters like resolution\
 , zoom level\, frame rate\, and focus\, based on the sample and what is be
 ing observed. This not only improves image quality but also reduces the ne
 ed for manual intervention\, making experiments more efficient and scalabl
 e.\n\nAt the Cellular Disease Models Lab\, we work with organoids—miniat
 urised\, lab-grown versions of human organs used to study diseases and tes
 t treatments. These experiments generate large volumes of high-resolution 
 image data\, which presents major challenges in storage\, processing\, and
  analysis. To address this\, we are developing an automated workflow that 
 connects the microscope to a cloud-based system. Using tools like Azure an
 d Databricks\, image data is stored\, analysed using AI models\, and then 
 used to make decisions in real time - such as automatically refocusing the
  microscope on areas of interest.\n\nThis approach shows how cloud technol
 ogies\, microservices\, and AI can be used to automate and coordinate comp
 lex lab equipment. By integrating real-time feedback and orchestration\, w
 e are transforming the microscope from a passive tool into an active parti
 cipant in the research process.
DTSTAMP:20260616T155106Z
LOCATION:Erik de Vries
SUMMARY:[ENG] Smart Microscopy: Cloud-Orchestrated\, AI-Driven Imaging Work
 flows for Modern Research Labs - Sam van Beuningen
URL:https://pretalx.surf.nl/surf-netwerk-cloud-event/talk/GECT7T/
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