Mecwins, S.a.

Carlos García Aguado

Andreas Thon

Valerio Pini

Virginia Cebrián Hernando

Jesús Oscar Ahumada Heredero

Antonio Salvador-Matar Renteria

Biosensing platform for simultaneous, multiplexed, high throughput and ultra-sensitive optical detection of biomarkers labelled with plasmonic nanoparticles, the platform being provided with a biosensor, a broadband and continuous spectrum illumination source, an optical detector for simultaneously capturing spatially resolved and spectrally resolved the scattering signal of each individual nanoparticle, an autofocus system and an optical system adapted to collect the scattered signal of the biosensor's surface onto the optical detector, the platform being provided with translation means for the optical system and/or the biosensor, such that the optical system and the biosensor can be displaced relative to each other in the three dimensions, and wherein the processing means are adapted to: i) simultaneously capture spatially and spectrally resolved scattering signals from each nanoparticle individually, and ii) to analyze these signals simultaneously with the capture process.

Biosensor platform and method for the simultaneous, multiplexed, ultra-sensitive and high throughput optical detection of biomarkers

A method for optically detecting biomarkers in a biosensor is disclosed, wherein the optical detection obtains spatially and spectrally resolved optical signals from a sample on a biosensor, and one or more of these spatially and spectrally resolved optical signals can be analyzed in parallel with image acquisition. The image analysis comprises reading data of the acquired images, correcting them to reduce inhomogeneities and noise, localizing particles in the images, characterizing each particle individually to obtain its position and characterization parameters, and classifying the particles based on their characterization parameters. Using the number of particles per class for all the acquired images of the sample, a statistical value is calculated per sample and each statistical value is correlated with an indication of the presence of a biomarker in the sample.

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Madrid, Spain

Carlos García Aguado