Quantify Co-labeling of Two Markers in Primary Astrocyte Cultures
This example uses CyteSeer to quantify co-labeling of two markers in primary astrocyte cultures.
Each cell in the image is automatically found and measured by CyteSeer. These aren't hand traced cell edges. Each cell has a unique identifying number and size, shape, intensity, location and colocalization properties. This is used for routine total cell counts as well counting cells within a given population. The cell-by-cell cytometry architecture of CyteSeer is designed to interrogate real world biological images automatically.
The power of this approach becomes clear as you start to consider the questions that can be answered:
Count red cells. Count green cells. How many cells are transfected and express a specific protein? Of the cells that are green and red, to what extent is the expression colocalized? How do these results change with respect to the cell cycle?
CyteSeer is built from the ground up for just sort of progressively more sophisticated analysis.
Original Astrocyte Image

Easy Set-Up
Simply point CyteSeer to the Images and choose the Astrocyte algorithm. The Astrocytes pipeline is available via the download page. Install it within CyteSeer via the File --> Import Pipeline Algorithm menu item.

CyteSeer Automated Image Analysis
Each cell in the image is automatically found and measured by CyteSeer. These aren't hand traced cell edges.

Cell Counts: Characterize and Quantify Every Cell
Each cell has a unique identifying number and size, shape, intensity, location and colocalization properties.

Use Gating to Group Populations of Cells for Analysis
This example shows that a gate has been applied to show only "Red Cells" . The Cell ID column is no longer a simple 1,2,3,4. Only the "Red Cells" remain. The cell count of gated vs. non-gated populations is reported directly.

Visualize Each Cell

Report Quantitative Results
CyteSeer has broad support for hist

Summary Statistics, Student's T, Z-Prime & Gaussian Z

Vala Sciences Contact Information
Vala Sciences is a cell biology company offering software, kits, services and custom development for analyzing a wide variety of cell types and conditions from adipocytes & stem cells to primary & well established cell lines.
For further information on products and ordering information please call or email:
Vala Sciences Inc.:
Sales and technical information:
858.461.6861
support@valasciences.com
http://valasciences.com
Links:
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Application Notes
Services: HCS Screening Services, IC 100 Warranty Service and Hardware Upgrades
CyteSeer is a registered trademark of Vala Sciences Inc. All rights reserved 2005-2009. Many thanks to Paige Cundiff and Alexey Terskikh at the Burnham Institute for Medical Research for their help on this project.

