On-Demand Webinar: 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 are 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.

Using advanced multivariate analysis, Incucyte^® Advanced Label-Free Classification Live-Cell Analysis software, simultaneously analyses multiple aspects of cell shape.  The simple, automated and integrated workflow, enables classification of cells into two user-defined populations, based only on their morphology. 

Key webinar discussion topics include:

• 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.
• 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.

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Speaker:

Dr Gillian Lovell
Senior Scientist, BioAnalytics,
Sartorius 

Dr Gillian Lovell is a Senior Scientist at Sartorius. Within the BioAnalytics group, she has worked across multiple research areas developing functional live-cell imaging assays and building these into customer-facing applications. 
Gillian previously obtained a PhD in Chemical Biology from Imperial College using multidisciplinary techniques to synthesize probes for biological targets and evaluate their effects with biochemical and cell-based assays. After a period of postdoctoral research, she joined Sartorius in 2015 working on the Incucyte^® Live-Cell Analysis Systems.