xCELLigence RTCA eSight - Imaging & Impedance
- RTCA Analyzers
Product Details
- Combine label-free xCELLigence real time cell analysis technology with live cell imaging in red, green, and blue for increased confidence in your cell analysis and conclusions.
- Simple workflow adapts to differing experimental protocols to deliver physiologically relevant data while monitoring cell health, strength of adhesion, changes in morphology, proliferation, and cytolysis in primary cell cultures or standard tissue culture cell lines.
- Flexible live cell imaging utilizes brightfield capabilities, three fluorescence channels, a multitude of well plate formats, and the capability of user-defined schedules.
- RTCA provides a continuous readout of cell number, proliferation rate, cell size/shape, and cell-substrate attachment quality.
| Analyzer Application |
|
| Depth |
|
| Height |
|
| Operating Environment Relative Humidity |
|
| Operating Environment Temperature |
|
| Sampling Format |
|
| Width |
|
Single Setup for Dual Measurements
Live cell imaging and real-time biosensor measurements can be performed on the same cell populations, which provides insightful information on cell behavior. The streamlined workflow, high reproducibility, and quantitative kinetics of the eSight system makes it ideal for a wide range of cell-based assays such as proliferation, cytotoxicity, and apoptosis.
Learn MoreMulti-modal Data Acquisition
In concert with the biosensor measurements, cell images can be captured in real-time, thereby providing a spatial and temporally dynamic view of cell populations, which can further validate time-dependent cell health and behavior at an unprecedented level of detail for any cell-based assay.
Learn MorePatented Real Time Cell Analysis
The impedance-based xCELLigence technology utilizes proprietary microplates (E-Plates) embedded with gold biosensors at the bottom of each well, which serve to non-invasively quantify cell behavior. Over the course of an experiment, the biosensors monitor cell metrics such as proliferation, adhesion strength, changes in morphology, migration, differentiation, and much more.
Learn More- Application Notes
-
Combining Live Cell Imaging with Cellular Impedance to Monitor Apoptotic Cell Death in Real Time
xCELLigence RTCA eSight Application Note - Combining Live Cell Imaging with Cellular Impedance to Monitor Apoptotic Cell Death in Real Time
- Application Notes
- English
- 15 Aug 2019
- 2.50 MB
- Brochures
- Flyers
- Instruction Sheets
-
Dell Ownership Transfer Process
Dell Ownership transferring process
- Instruction Sheets
- English
- 24 Aug 2020
- 417.41 KB
Dr. Zelia Geouveia
Institut Curie
We are a laboratory working in cancer research, namely chimeric antigen receptor (CAR)-T cells targeting different antigens in the tumor. We were seeking a high throughput platform that would allow us to evaluate CAR-T cells killing in real-time. We were also interested in visualizing the killing in real time. The xCELLigence RTCA eSight was one of the technologies that could provide such information using impedance and live cell imaging (one machine, two different and precious information). When compared with other instruments that could provide imaging information only, the image quality was similar but we would not have the impedance for comparison. Thus, we decided that having both
View MoreVideos
Modeling anti-tumor function of human T cells
Mouse models have been essential for establishing the role of the T cells in anti-tumor responses, but they have limited utility in translational studies for the testing of candidate therapeutics due to lack of cross-reactivity of many human antibodies to mouse receptors. Most of the human cell-based models for studying anti-tumor T cell responses, however, have significant biological or practical limitations that constrain their usefulness.
In this webinar, Dr. Michael Overstreet from AstraZeneca will discuss the development of a model system to study antigen-specific T cell-mediated cytotoxicity of HLA-matched human tumor cells based on memory anti-viral T cells. This presentation will show how optimizing this model using real-time instrumentation has led to new understanding of the interplay among the dynamic variables that impact the interactions between tumor cells and T cells.