Analytics: Manufacturing Scale Label Free Single Cell Analysis

Webcast

Webcasts

Webinar Date/Time: Thursday June 29, 2023 at 2pm EDT | 1pm CDT | 11am PDT

In this webcast, learn the importance of analytical characterization of material. Discover how it helps maintain quality attributes within specified limits, identifies potential CMC problems, and addresses them in early manufacturing development.

Register Free: https://www.pharmtech.com/pt_w/label-free

Event Overview:

In this webinar learn about a label-free single cell analysis capability where the use of antibodies or genetic labeling is not required. This new type of laser physics approach offers benefits for analysis compared with conventional label-based flow cytometry methods.


Key Learning Objectives

  • Detect and quantitate viral vector production of proteins and antibodies during R&D and manufacturing.
  • Measure viral infectivity for vaccine R&D, process development and optimization, formulations, and potency.
  • Characterize AAV, lentivirus and retrovirus transduction and transfection monitoring. iPSC differentiation monitoring.
  • Measure changes in optical forces and cytoskeletal changes (deformability) for differentiated and dedifferentiated cells in Induced Pluripotent Stem Cells

Who Should Attend

  • Advanced therapy medicinal products scientists
  • Cell and gene therapy manufacturers
  • Regulatory and government relations personnel
  • Viral vector manufacturers
  • Oncologists and immunologists
  • Potency assay researchers
  • CAR-T and blood disorder physicians

Speaker

Sean Hart, PhD
Chief Scientific Officer & CEO
LumaCyte

Dr. Hart has 50+ peer reviewed journal articles, numerous invited and contributed presentations, 4 patents issued / 4 pending, and has managed large research teams with multi-million dollar budgets. Dr. Hart has extensive experience in a diverse range of research areas including spectroscopy, laser trapping and separation, optical engineering, chromatography, chemical and biochemical separation, statistical data analysis/calibration and artificial intelligence. He received his PhD in Chemistry at Tufts University in 1998. He has significant experience with taking new technology from the lab bench to prototype and field applications.

Register Free: https://www.pharmtech.com/pt_w/label-free

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