SBIR-STTR Award

Use of ECIS Technology for Real-Time Non-Invasive Identification of Partially and/or Fully Differentiated Cells for Regenerative Medicine
Award last edited on: 10/31/2012

Sponsored Program
SBIR
Awarding Agency
DOD : DHA
Total Award Amount
$149,953
Award Phase
1
Solicitation Topic Code
OSD11-H14
Principal Investigator
Gabriela Tudor

Company Information

Stemnion Inc (AKA: Stemmion LLC ~ Kytaron Technologies, Inc)

100 Technology Drive Suite 200
Pittsburgh, PA 15219
   (412) 201-7370
   sing@stemnion.com
   www.stemnion.com
Location: Single
Congr. District: 18
County: Allegheny

Phase I

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Phase I year
2012
Phase I Amount
$149,953
The Electric cell-substrate impedance sensing (ECIS) technology provides an excellent miniaturized platform on which to design and execute non-invasive and label-free specialized biological assays to continuously monitor cellular parameters such as viability, adhesion, and proliferation in a high throughput way. It records electrical impedance of cells grown on microelectrodes integrated into the bottom of individual 8-wells or 96-wells arrays. It has been shown that throughout differentiation, the gradual reorganization of the cell layer can be accurately detected using the ECIS modeling of the complex impedance and its components. We propose to use the ECIS technology for real-time, label-free monitoring of stem cell differentiation by recording cell-specific behaviors critical to differentiation, in a high throughput format. We intend to reveal cell-identity maps which can be used to create cell-type specific signatures where each cell type can be associated with specific differentiation-induction response-curves. Overall, we will evaluate impedance signaling associated with changes in cell-cell contacts, modifications in cell-substrate interactions, proliferation, spreading and migration. We assume these early changes to be cell-type specific and the overall goal of this proposal is to demonstrate they can be annotated.

Keywords:
Cellular, Differentiation, Electrical, Identification, Rapid, Analysis, Real-Time, Viable

Phase II

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Start Date: ----    Completed: ----
Phase II year
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Phase II Amount
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