a3p on Investigadores del CSIC desarrollan una nueva tecnología que podría mejorar el diagnóstico de enfermedades como el cáncer y medir la eficacia de fármacos
a3p on A CSIC team has designed a method and a device that differentiates, in a single analysis, different cells or particles present in a fluid. The prototype has been tested, and the results have been published and featured on the cover of ACS Sensors. The system has been patented and now the scientific team is looking for companies interested in a license agreement for its commercial exploitation.
a3p on La nueva tecnología podría mejorar el diagnóstico de enfermedades como el cáncer y medir la eficacia de fármacos
Publicada 28/1/2020: https://www.csic.es/es/actualidad-del-csic/investigadores-del-csic-desarrollan-microdispositivos-que-distinguen-las-celulas
Un equipo de investigadores del Consejo Superior de Investigaciones Científicas (CSIC) ha desarrollado microdispositivos que permiten distinguir las células tumorales de las células sanas del mismo tejido, lo que podría mejorar el diagnóstico de enfermedades como el cáncer. La nueva tecnología permite medir de manera simultánea las propiedades mecánicas y ópticas de células individuales. Estos dispositivos han sido probados con éxito en células de adenocarcinoma de cáncer de mama y en células similares que no generan tumores. Los resultados, que se publican en la revista ACS Sensors, ya han sido patentados.
a3p on https://pubs.acs.org/doi/abs/10.1021/acssensors.9b02038
Abstract. The study of biophysical properties of single cells is becoming increasingly relevant in cell biology and pathology. The measurement and tracking of magnitudes such as cell stiffness, morphology, and mass or refractive index have brought otherwise inaccessible knowledge about cell physiology, as well as innovative methods for high-throughput label-free cell classification. In this work, we present hollow resonator devices based on suspended glass microcapillaries for the simultaneous measurement of single-cell buoyant mass and reflectivity with a throughput of 300 cells/minute. In the experimental methodology presented here, both magnitudes are extracted from the devices’ response to a single probe, a focused laser beam that enables simultaneous readout of changes in resonance frequency and reflected optical power of the devices as cells flow within them. Through its application to MCF-7 human breast adenocarcinoma cells and MCF-10A nontumorigenic cells, we demonstrate that this mechano-optical technique can successfully discriminate pathological from healthy cells of the same tissue type.
