Inish Solutions for Label-free Cell Analysis

cell counting and viability

Simple Cell Analysis

For a vast range of applications in cell biology:  therapeutic applications, stem cell research, cancer cell research, cell toxicology, veterinary applications and quality control

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Find the Best Cells

Following electroporation, Inish solutions predict your transfection efficiences before you go to the hassle of plating your cells - saving you time and improving your workflow.

What's in a name?

We chose the name Inish for this range of cell analysis solutions because "Inis" is the Gaelic or Irish word for:

  • "island" and

  • "tell" (to tell a story) or "report"

Since we're based in Ireland, we thought this was quite apt and since every sample tells a story...it seemed the perfect fit for our new range of cell analysis solutions.  

 
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APPLICATIONS

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CAR T-cell therapy & SSC

Cell counting and Viability of primary T-cells for CAR T-cell manufacturing and single-cell sequencing (SSC).  Ensure Cell Viability thresholds before running SSC assays.

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Life Science R&D

Cell Viability is particularly important for R&D applications including testing drug metabolism and cytotoxicity.

Transfection Efficiency of cell lines for biomanufacturing of biologics, including vaccine & antibody production and synthesis of therapeutic proteins.

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Stem Cell Therapy

Quality control of stem cells for applications including tissue regeneration or stem cell therapy for blood disorders, cardiovascular and brain diseases.

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Biologics

Reliable Cell Counting & Viability results every time. Yeast cells are a popular choice in biologics for the manufacture of cell products - they have numerous advantages including fast growth and the ability to easily manipulate their genetics.

 

HOW DOES IT WORK?

Label-Free:  What does it mean?

No fluorescent dyes/stains or magnetic beads are required to "label" your cells for analysis.  This removes a step in your workflow and saves you money on reagents.  It also leaves your cells in their native state for analysis.  So, how do we actually analyse your cells?  We use a method called impedance spectroscopy.  Unlike classic fluorescence flow cytometry, magnetic cytometry or imaging microscopy; this method does does not require labels (i.e. dyes, stains or beads) for simple cell analysis.

Impedance:  What is it and how does it work?

Impedance spectroscopy is a method of measuring the resistance and capacitance properties of a cell or particle by applying an electric field across two electrodes embedded in a microfluidic chip.  As each cell flows past the electrodes, the electric field is disturbed. 

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Impedance has been around for a long time and most famously used in the classic Coulter Counters.  However, these devices were largely used for simple counting and sizing of cells and particles.  They typically used low frequency impedance measurements and thus were unable to differentiate one cell from another.  Now, with advanced electronics, we can measure several frequencies simultaneously - this enables us to determine different parameters of a single cell.  And by combining all of this with microfluidics, we can control the position and orientation of cells as they pass the electrodes.  This provides a more precise measurement of the cells' parameters. 

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Depending on the frequency, we can determine different parameters of the cell:   

  • Cell or particle size

  • Membrane integrity

  • Cytoplasm content

  • Vacuole content

Single Cell Analysis

Using the method of impedance spectroscopy, every single cell is analysed as it passes the electrodes.  This results in a true "single cell analysis" technique where results are reported in standard FCS file format:  every dot on the scatterplot represents a single cell. 

Impedance Spectroscopy for Cell Counting and Viability
Impedance Spectroscopy for Cell Counting and Viability

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Impedance Spectroscopy for improving Transfection Efficiencies
Impedance Spectroscopy for improving Transfection Efficiencies

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Impedance Spectroscopy for Cell Counting and Viability
Impedance Spectroscopy for Cell Counting and Viability

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