Single Cell Analysis with
Impedance Flow Cytometry

These single cell analysis applications are currently implemented in research settings or in beta testing. Please contact us for further information on specific applications and customized OEM solutions.

Discriminating viable bacterial cells from dead ones is a difficult task, even with fluorescence-based flow cytometers (FACS).

Label-free single cell analysis with Impedance Flow Cytometry at high frequencies permits a clear distinction of live and dead cells for bacteria with a size of 2 µm and larger, for bioprocess optimization and quality control applications.

Monitoring Cell Viability & Apoptosis in Cancer Cells

Nanotoxicity

Staurosporine is a protein kinase inhibitor and apoptosis inducer. The response of BL2 cells to Staurosporine treatment was investigated with a time course experiment. In the figure a distinct change of the viable cell population upon Staurosporine treatment can be seen.

Nanomaterials (NMs) have gained enormous attention due to their unique properties and have found use everywhere in daily life applications.

However, this widespread use resulted in an increased release of NMs and raised concerns on their adverse impact on the environment and on human health.

Until recently, there was a lack of standardized methods to assess the toxicity potential of these NMs as traditional toxicity assays have been shown to interfere with NMs resulting in false negatives or false positives.

Impedance Flow Cytometry offers an alternative analytical tool to effectively and reliably screen for nanotoxicity that does not interfere with the NMs.

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Yeast cultures are at the heart of many production processes for food and alcoholic beverages, the production of pharmaceuticals and even as nutritional supplements.

In brewing, viable yeast concentrations need to be determined to control pitching rates and to avoid production losses due to slow or stalled fermentations. For the production of biopharmaceuticals, monitoring viability is important to maximize yields by optimizing fermentation times, for example by detecting the onset of apoptosis to stop the process before undesired side products are released.

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With the Ampha Z32, single cell analysis of yeast cells is not limited to distinguishing live, starving and dead cells, but also to detect changing cell culture states.

An overlay of yeast cells sampled during different stages of beer fermentation shows characteristic impedance patterns: Day one (red), day two (green) and day eight (blue).

On the eighth day of the fermentation, populations appear higher up on the y-axis (1), indicating larger cell volume. At the same time an increase in dead cells (2) is observed. In addition, a new cell population is appearing (3), which is characteristic for late fermentation stages.

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For the milk industry, the quality of raw milk is a major concern. High somatic cell counts are mainly caused by bacterial infections and bacterial contamination. These infections originate from insufficient equipment sanitation or cleansing of the cow’s udder and teats. The presence of high concentrations of somatic cells have an adverse impact on the milk products.

Amphasys’ single cell analysis technology allows a direct determination of the somatic cell count in untreated raw milk. This application is in beta testing – please inquire.

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Customers and Partners

Downloads

Ampha Z32
Brochure
Yeast Cell
Application Note
Cancer Cell Application Note