MAY 24, 2016 8:00 AM PDT

Implement high-throughput 3D image analysis for samples from subcellular structures to spheroids

Speakers
  • Senior Research Scientist, Molecular Devices
    Biography
      Oksana Sirenko earned her PhD in Biochemistry from the Biochemistry Research Institute, Academy of Sciences in Ukraine. For over 15 years, she has worked as a Research Scientist in cell-based assay development, drug discovery, and drug development in several pharma and biotech companies including Novartis, Bayer, and Fibrogen. At Molecular Devices she is focused on assay development using high-content imaging systems and other instruments to develop methods for cell-based disease modeling and toxicity research.
    • Applications Scientist, Molecular Devices
      Biography
        Steven Luke is an Applications Scientist at Molecular Devices working as a customer representative for the high content screening software team. Steven has a B.S. in Biology from Niagara University and more than ten years of experience in high content analysis and cellular imaging, starting in the field as a core imaging facility manager at Thomas Jefferson University in Philadelphia.

      Abstract
      DATE:  May 24, 2016
      TIME:   8am Pacific time, 11am Eastern time, 4pm BST, 5pm CEST


      3D assays have been gaining popularity as researchers look for models with improved physiological relevance but scaling up these assays can be challenging in terms of creating a seamless workflow from image acquisition to analysis.  In this webinar we present our latest technology advances for high-throughput imaging.  Two types of assay examples will be presented:
      • The development and optimization of a model system using human iPSC-derived hepatocytes to form spheroids for drug screening or assessing toxicity effects. The presentation will include experimental workflow, imaging techniques, 3D analysis and IC50 results for several compounds.
      • A two-dimensional cell culture in 384-well plates treated with mitotoxic compounds.  Within each cell, mitochondria can be identified and characterized to generate measurements such as average mitochondrial count, total volume, distance from the nucleus, shape factor, and intensity.  
      Come hear about our tips on:
      • Working with spheroids from seeding, to treating, to staining
      • Imaging techniques over multiple Z planes paired with the use of our integrated, user-friendly 3D analysis toolkit
      • Setting up analysis to provide data beyond intensity and number of objects, including morphology and volume of 3D structures

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