Validating CAN spectroscopy to assess chemotherapeutic drugs
09/01/2025
At a glance
> The Absorbance 96 has been used to validate Cell Adhesion Noise (CAN) spectroscopy as a novel method for assessing the efficacy of chemotherapeutic drugs.
> The microplate reader measured cell viability and proliferation following drug treatments, providing endpoint data and independently confirming the drug’s effects on cells.
> Being x7 smaller than the smallest comparable reader, the Absorbance 96 is a small but powerful tool with a broad wavelength range accommodating diverse assays.
Assessing the efficacy of cancer drugs
The Absorbance 96 has been used in a recent study by Maxmillian Ell et al. to validate Cell Adhesion Noise (CAN) spectroscopy as a novel method for assessing the efficacy of chemotherapeutic drugs. This label-free, non-invasive technique offers real-time insights into how cancer cells respond to treatment by analysing fluctuations in adhesion forces between the cells and their substrate. CAN spectroscopy represents a significant step towards personalised cancer therapies by allowing rapid and precise screening of chemotherapeutic agents.
Measuring cell viability and proliferation
The Absorbance 96 was used to measure cell viability and proliferation following drug treatments, providing endpoint data and independently confirming the drug’s effects on cells being studied such as cell death or growth inhibition. The data generated by the microplate reader showed remarkable consistency with results obtained through CAN spectroscopy, validating the robustness of it as a complementary tool in cancer research.
Correlating noise patterns with drug effectiveness
The study revealed that different chemotherapeutic agents produce unique adhesion noise patterns. These patterns closely correlate with the drugs' effectiveness in either killing cancer cells or inhibiting their growth. This insight allows for more precise and rapid screening of potential treatments, reducing the time and cost associated with traditional methods. By decoding these noise patterns, researchers can gain a deeper understanding of cellular behaviour under drug influence, tailoring therapies to individual patient needs.
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