Biopharma

FlowCam for Cell Therapy Quality Control and Organoid Analysis

Novel cell therapies show great promise as treatments for a variety of complex diseases including cancers and neurodegenerative disorders. Flow imaging microscopy supports drug product analysis in order to advance the development of these therapies. 
 
For quality control of CAR-T cells and other types of cell-based medicinal products, FlowCam monitors concentrations of viable and nonviable cells, cell clusters, and particulate impurities.

For the development of organoids for disease modeling and novel therapeutic drug screening, FlowCam offers image-based surveillance to monitor culture growth characteristics in real-time.

Use FlowCam to:

  • Monitor for hard-to-remove, cell-derived impurities like nonviable cells and cell debris
  • Analyze aggregation of cells into large cell clusters and organoids
  • Identify non-cellular contaminants including residual DynabeadsTM and protein aggregates
  • Characterize particles ranging from 2 μm to 1 mm with industry-leading image quality
  • Obtain particle type and morphology information to complement orthogonal sizing and counting techniques
less laborious, inexpensive techniques that allow for rapid and reliable counting of CBMPs [cell-based medicinal products] would be beneficial for improving the quality and success of CBMPs in clinical practice. Emerging flow imaging microscopy (FIM) techniques may fulfill these needs."

Monitor Cell Populations and Impurities with FlowCam

The inherently large size of therapeutic cells (4-15 µm) restricts the use of sterile filtration and other size-based separations to remove subvisible process impurities and contaminants like DynabeadsTM and cellular debris. 

Flow imaging microscopy provides high-quality images to differentiate between particle types including viable and nonviable cells, cell debris, and contaminants. This information enables the removal of unwanted particles at the source – bypassing the need for filtration.

  • Differentiate between cells, cell-based impurities, and process-based impurities like Dynabeads to optimize CAR-T and other cell-based drug product manufacturing 
  • Utilize image analysis tools in VisualSpreadsheet to measure cell concentrations and viability in samples without the need for fluorescence labeling
  • Monitor the aggregation of cells into large cell clusters and organoids

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