i-CellSignal is a web-based platform providing a collection of computational services to biologists for the analysis of cell impedance signals. Since processing and analyzing all cell index profiles can be a time-consuming and difficult exercise, our mission is to make your cardio and cell analysis easier and faster. To that aim, we propose you two innovative tools (i-Cell & i-Cardio) and a personalized R&D service (i-Analytics).


Your Needs:

  • speed up the exploratory analysis of your cell index profiles
  • quickly identify time region of interest
  • compare cell index profiles

Our Solutions:

  • plotting and signal handling facilities
  • pre-processing tools: normalization, averaging, choice of the working frequency
  • production of a dynamic report
  • possibility to export figures in PDF formats


Your Needs:

  • quickly detect relevant regions of interest in the complete cardio data set
  • identify plateau regions
  • identify frequency irregularities
  • observe beating trends over large periods
  • compare statistics between several wells

Our Solutions:

  • plotting facilities
  • 4 specific statistics to accurately detect specific events occurring:
    • anormal change of the beating amplitude
    • trends in the beating rhythm
    • presence of plateau (transient beating loss)
    • arrhythmia (abrupt change of beating rhythm)
  • production of a dynamic report
  • possibility to export results to any spreadsheet software

How does it work ?

  1. if you are not registered, request for account opening on our web platform: saas.cybernano.eu
  2. you upload your data files (PLT files)
  3. we compute for you several statistics and the results are presented in a dynamic report
  4. you download the dynamic report
  5. you read it on Firefox Mozilla
The numerical information given in those reports can be easily exported to any spreadsheet software for a posterior analysis.


Your Needs:

  • to develop an analytical method based on the RTCA technology

Our Solutions:

  • Signal modeling & processing algorithms specifically developed to ensure the ICH Q2 and USP (1225) recommendations
  • Design of experiments to gain an understanding of how potential sources of variability in the proposed analytical procedure affect the performance characteristics of the procedure.
  • Sensitivity analysis to assess the robustness of the analytical method.

Ask for documents and a free demo


For more details about our services, please complete this form to get access to PDF documents.


To quickly and easily evaluate i-Cell and i-Cardio products please complete this form. We will create your free account, valid for processing one complete P96 microplate. Please note it may take up to 4 working days to receive your i-Cell or i-Cardio analytics report.


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General terms

  1. Signature of a Master Service Agreement (format proposed by the Customer) by the two parties
  2. For each service demand (i-Cardio or i-Cell), a task order is signed by the two parties.
  3. Payment terms: an invoice is sent to the customer as soon as the computational portal is opened and effective. Invoices shall be payable within sixty (60) days of receipt by the Customer.
Download the entire general terms file


Our Data-Driven Modeling References in Biology:

  • [1] L. Batista, T. Bastogne, and E.-H. Djermoune. Classification of cancer cell responses based on cell impedance signal processing. In Proc. of the XVI Congrès Chimiométrie, Genève, Suisse, January 19-21 2015.
  • [2] J.-B. Tylcz, K. E. Alaoui-Lasmaili, T. Bastogne, N. Thomas, B. Faivre, E.-H. Djermoune, and M. Thomassin. Data-driven modeling and characterization of anti-angiogenic molecule effects on tu- mor and vascular growth. Biomedical Signal Processing and Control, 2015.
  • [3] J.-B. Tylcz, M. Abbaci, T. Bastogne, W. Blondel, D. Dumas, and M. Barberi-Heyob. A system- engineering model to analyze gap-frap in multicellular models. In Proc of the Interdisciplinary Symposium on Signals and Systems for Medical Applications, Paris, France, June 2013.
  • [4] J.-B. Tylcz, M. Abbaci, T. Bastogne, W. Blondel, D. Dumas, and M. Barberi-Heyob. System identification of the fluorescence recovery after photobleaching in gap junctional intracellular communications. In Proc of the 52nd IEEE Conference on Decision and Control, Florence, Italy, December 2013.