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Cell Counting and Image Cytometry

Using The Gating Interface

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Celigo Image Cytometer Direct Cell Counting Assays for Immunotherapy
3D Cell Models
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Celigo Cell Counting Applications
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Celigo Image Cytometer Direct Cell Counting Assays for Immunotherapy
Cell Line Development
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iPSC Reprogramming
Topic
Using The Gating Interface
Complement-Dependent Cytotoxicity
Antibody-dependent Cell-mediated Cytotoxicity
CAR-T Mediated Toxicity
Direct NK Cell Killing
Obtaining a Direct Cell Count
Using The Gating Interface
Whole Well Imaging

Use the Celigo built-in gating interface for population analysis using histogram and 2D scatter plots

  1. Generate histograms and 2D scatter plots
  2. Use built-in gating interface to perform population analysis
  3. Easy-to-use plotting interface with real-time update

Use flow-like gating interface to perform population analysis

The Celigo™ image cytometer possesses powerful built-in image analysis software that allows the user to identify cell populations based on a variety of parameters such as morphology measurements or fluorescent intensities. The flow-like gating interface with histogram and scatter-plot graphics are linked to the captured cell image. This allows users to visually monitor and confirm the placement of the gate by looking at the gated cell population in real-time.


Total cell count, live cell count, percentage live cell count and other parameters are generated for each well

Percentage Live Cell Count and Other Parameters

By plotting the mean fluorescent intensity of CFSE versus the mean fluorescent intensity of PI in the Celigo graphic interface, we can acquire populations for the number of live, dead and total cells, as well as the percent viability.


Generate histograms to determine cell population of interest

Histograms to Determine Cell Population of Interest

Directly imaged and counted immune cells include cytolytic cells: CIK cells, NK cells, Neutrophils and CAR-T cells.
Define the population of interest by plotting the cells based on cell area. Cells that fall within the gate on the histogram are counted (outlined in yellow), those cells that are too small (outlined in blue) are considered debris and are gated out

Generate a 2d scatter plot based on cell fluorescent intensities

2D Scatter Plot Based on Cell Fluorescent Intensities

Set up gating parameters based on mean fluorescent intensities. Either shape or quadrant gating can be applied to the scatter plot. The cells are automatically outlined to correspond to the gate within which they reside with the movement of the quadrant gate, the outlined cells are automatically updated to reflect the modified gating parameters

Target cell images with classifications and corresponding gating

Antibody concentration

Antibody Concentration

By examining the captured images, we can visually see that the number of dead target cells (Yellow), decreased as the antibody concentration decreased. This observation is supported by plotting the cells based on the mean fluorescent intensities. There is a greater number of plotted cells in the upper two quadrants, which represent dead cells. We can also see that the number of live cells (lower right quadrant) is increasing in number as we decrease the antibody concentration.

Measure car t-mediated cytotoxicity using tracer and viability dyes

E:T Ratio

CAR T-Mediated Cytotoxicity ET Ratio

Target and effector cell fluorescent and brightfield overlay images. Cells from the above images are plotted below based on the mean fluorescent intensities.

E:T Ratio

CAR T-Mediated Cytotoxicity using Tracer and Viability Dyes

Fluorescent intensity gating for cytotoxicity percentage. The number of dead target cells increased as the E:T ratio increased, which can be visually seen in the scatter plot. The gating interface provided the number of live and dead target cells which was used to calculate the final cytotoxicity percentage.

For research use only. Not for use in diagnostic procedures.

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