Advanced, label-free classification of cell morphology

Analysis of cell morphology is a powerful technique that can provide insight on cell behavior and function. Morphological features can add a layer of information to multiplex data and is advantageous where fluorescent labels or reporters would be detrimental to cell health. However, quantification of morphology often relies on the use of single variables as a surrogate for cell shape, which can result in inaccurate or misleading data. In addition, these single variables are usually not comparable across different cell lines which possess diverse morphologies.

In this webinar, Dr. Gillian Lovell, senior scientist within the BioAnalytics group at Sartorius, describes how using advanced multivariate analysis can simultaneously analyze multiple aspects of cell shape. The simple, automated, and integrated workflow of Incucyte^® Advanced Label-Free Classification enables classification of cells into two user-defined populations, based only on their morphology.

Key learning objectives

• A comparison of validated live/dead assay quantification of six different cell lines, using Advanced Label-Free Classification, against a standard fluorescent annexin V reagent
• Validation of a monocyte to macrophage differentiation assay
• Demonstration of a user-friendly workflow, which yields quantitative analysis of a wide range of biological models, including monitoring of diverse changes in cell shape
• Live question and answer session

Who should attend?

• Scientists and researchers in biotechnology, pharmaceuticals, biopharma, and academia.

Certificate of attendance

All webinar participants can request a certificate of attendance, including a learning outcomes summary, for continuing education purposes.