Warning: "continue" targeting switch is equivalent to "break". Did you mean to use "continue 2"? in /homepages/0/d588708088/htdocs/clickandbuilds/ainnovation/wp-content/themes/Divi/includes/builder/functions.php on line 4783
Main Features of ECIS®  Platform - Acquire Innovation

Discover the main features of the ECIS® impedance platform

Characteristics of cell impedance measurements with ECIS® 

Real-time measurements on living cells:

Real time measurements on living celle is the major asset of the ECIS® impedance platform . All variations of impedance and therefore any cellular activity are observed in real time. By providing the ability to closely follow the consequences of cellular effectors on cell behavior as they act is an advantage that only this platform can offer.

Indeed every curve’s inflection indicates the critical and key moment of passage between two cell states. Therefore each timepoint corresponding to an curve inflection should be analyzed further as an endpoint testing.This allows, the entire design of R&D program.

This platform allows to design experimental protocols faster and more accurately by measuring kinetics in a dose dependent manner of effectors on the cells in a single experiment. These will also be used to study chronic stimulation effect, essential for the current application in cell biology.

Non-invasive and label free measures :

All experiments are performed in conventional culture conditions without further intervention.This technology overcomes any adverse effects, only the effect of the studied effector is considered.

Quantitative measures:

The impedance varies with the number of cells: the more cells you have on the electrodes the more resistance to current flow is large, the impedance increases.

Figure : ECIS®  graphs of cell growth and the relationship between measured resistance and cell numbers. In (A) primary brain micro capillary endothelal cells are seeded at time zero and continously measured over the ensuing week Plataus indicated at T1 and T2 represent time points at which the cell population has doubled. (B)A linear correlation of resistance with the number of cells on the electrode exists below a saturation density of approximately 100 cells per electrode. Data derived Bemas MA et al.. 2010 Nat. Protocols 521265 UK) and from Xiao, C. & Luong, l.H.T.. Z003 Biotechnol. Progr. 19:1000

Qualitative measures:

As important as real time, each variation of the morphology of the cells induces impedance changes. For example the spreading of cells on the electrodes Results in an increase in impedance. these qualitative measures allow ECIS® platform to perform study on the quality of cell-cell interactions (cell junctions) and cell-substrate, more informations on ECIS® exclusive

figure : ECIS® graph of the attachment and spreading of BSC-l and NRK Cells. Cells were seeded at density of 105 cells/cm and a confluent mnnnlayer was achieved at T1 and TZ for BSC-l and NRK tells respectively.The fluctuations that exist alter these time pnints are due to nano-scale cellular activily.

Ultra-sensitive measures:

The ultra-sensitivity of ECIS®technology requires the operator extreme rigor. Indeed, any change in the experimental protocol will directly affect the results (cells quality, changing the culture medium, seeding, coating, etc …).

Figure : Graphs depicting the attachment and spreading dynamics of (A) renal vascular smooth muscle cells and (E) porcine Brain capillary endothelial cells. in (A) ECIS® arrays were pretreated with the indicated matrix proteins prior to cell seeding. in (5) prior to recording, pericytes, astrocytes, or cerebral endothelial cells were allowed to grow to confluency in ECiS® arrays. The cells were then removed by trypsinization and porcine brain endothelial cells introduced to the wells and their attachment and spreading dynamics were measured. Data of (A) derived from Balasupramanian, L. et ai., 2008 Am. J. Physiol. Cell Ph. 295:C954 and (E) from Hartmahh, C. etal., 2007 Exp. Cell Res. 313:1318.

ECIS®  Applications:

Due to these features, the ECIS® platform allows unique access to dynamic data generating new knowledge on a significant number of diseases : Learn more about Applications