How it Works & Results

Cellometer® Vision's cell counting principle is based on a patent pending method combining bright field cytometry with fluorescence detection over a thin layer of cells. Image analysis software is then used to count cells, measure diameters, and quantify fluorescence values. Before now, basic cell counting with fluorescence detection required use of flow-cytometry, which typically meant advanced training, extensive sample preparation, and post-run data manipulation. This data can be generated on Cellometer Vision with just a few easy steps:

Step1: Pipette 20µL

Step 2: Insert Slide

Step 3: Get Data

Step 1: Using a standard single channel pipette, 20µL of labeled cells in suspension are loaded into the disposable counting chamber. Capillary action spreads the cells into a thin monolayer. There is no risk of clogging, overfilling or other errors associated with on-board liquid handling systems.

Step 2: The counting chamber is inserted into the slot in the front of the instrument, and Cellometer® Vision, connected to a computer via USB 2.0 cable, acquires bright field and / or fluorescent cell images from multiple locations (Figures 1 & 2).

Step 3: Advanced image analysis software automatically analyzes the acquired images and determines cell counts, fluorescence levels and cell sizes. This data can then be viewed in a variety of outputs, such as Histograms, Scatter plots, or raw data (Figures 3, 4, 5).

Brightfield Image Obtained	Figure 1: In this example, Cellometer Vision is being used to quantify the % of cells expressing GFP reporter gene. This bright field image will be analyzed to generate total cell count data, as well as cell size data.
Fluorescence Image Obtained	Figure 2: The fluorescent image is captured next, which will be analyzed to determine the number of cells fluorescing as well as the level of fluorescence of each.
Results Displayed	Figure 3: After image analysis, the ratio of fluorescing vs. non-fluorescing cells is displayed.

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