Cell Quality Evaluation

Stable cell production and live cell imaging

Great expectations have been placed upon cell therapies to become effective solutions for currently intractable diseases, many of which are very difficult to overcome by traditional therapies and medicines. In order to meet these expectations, cell therapies require the production of extremely large numbers of cells. In many cases hundreds of billions of cells must be cultured. This production must be carefully implemented to ensure stable manufacture of homogeneous cells. However, because cells are highly sensitive to environmental changes, there are many obstacles to obtaining protocols for stable cell production.

For example, since human pluripotent stem cells (hPSCs) can become a variety of different cell types, differentiation induction methods are underway worldwide as a source for cell therapy. In order to achieve reliable mass production of high-quality differentiated cells of the intended cell type, it is essential to routinely monitor the state of the cells via skilled techniques and microscopic imaging.

Examples of cell differentiation and proliferation

Process needed for each cell culture (iPS cells)

Experience and skilled techniques are required for each process.

Cell quality evaluation system by live cell imaging

Daily cell observation of cells under the microscope is quite important to ensure the quality of cell cultures. However, routine microscopic observation by humans is not a quantitative, precise, or consistent method. In addition, it is impossible to track and record the morphology and movement of more than 10 million cells in the culture dish by human observation.

Nikon is now able to visualize and quantify the characteristics of cells, while in culture, by utilizing our imaging device and image analysis algorithms.

Features for cell quality evaluation

  • Non-invasive cell counting by image analysis
  • Accurately quantify cell coverage area (to determine sub confluent culture)
  • Reproducible cell QC by replacing routine human observation with automated image analysis
  • Create cell density distribution map

These solutions enable researchers to:

  • Determine the timing for cell passage, drug addition, etc.
  • Build a tool to predict the success of cell culture
  • Detect unwanted cells in culture early
  • Consistently ensure the best practices in cell culture

Applications

Introducing applications to measure numbers of human-derived cells, density and shapes, and application packages that combine several applications.