
Special topic webinar's are available. Please sign up and we will set up a schedule for your lab.
Example topics include:
1 A Novel Method to Assess Primary Hepatocyte Concentration and Viability
2 Rapid Detection of Apoptosis with FITC Conjugated Annexin-V
3 CellometerSystem for Automatic Analysis of PBMC Cell Samples
4 Automated Counting and Sizing Freshly Isolated Adipocytes with Minimal Sample Preparation
5 Automated Methods for Counting and Analyzing Stem Cell Samples
Example topics include:
1 A Novel Method to Assess Primary Hepatocyte Concentration and Viability
2 Rapid Detection of Apoptosis with FITC Conjugated Annexin-V
3 CellometerSystem for Automatic Analysis of PBMC Cell Samples
4 Automated Counting and Sizing Freshly Isolated Adipocytes with Minimal Sample Preparation
5 Automated Methods for Counting and Analyzing Stem Cell Samples
Joint Webinar: Nexcelom Bioscience and DeNovo Software Cellometer Image Cytometry and FCS Express Software for Cell-Based Assays
Nexcelom Vision CBA Image Cytometry System for Cell-Based Assays using DeNovo FCS Express SoftwareGetting Started in FCS Express 4 Flow Cytometry with Nexcelom CBA Image Cytometry Data
Watch Webinar: Nexcelom Image-Based Cytometry and FCS Express 4 Flow Cytometry Software for Cell-Based Assays
Timothy Smith of Nexcelom Bioscience demonstrates the use of the Cellometer Vision CBA Analysis System to perform simple, accurate analysis of cell-based assays with only 20µl of sample. The webinar discusses the advantages of image-based cytometry and reviews several cell-based assays validated on the Vision CBA System along with correlation data between Vision CBA and flow cytometry.David Novo, president of De Novo Software, demonstrates how to import the results from the Vision CBA Analysis System into FCS Express 4 Flow Cytometry software for interactive data analysis and reporting for the images and data. The webinar demonstrates the simplicity of creating the types of histograms and scatter plots generated by traditional flow systems using image-based data.

