Integrative and multi-disciplinary platform combining photonics, artificial intelligence, and biology.
Integrative and multi-disciplinary platform combining photonics, artificial intelligence, and biology.
02.
Digitalization
Optomics data is converted into a high dimensional profile including over 90 time-and-frequency home-built features. These, describe the complexity, regularity, and behavior of the signal in different frequency bands. The data contained in this signature profile provides a snapshot of the nano-scale interactions occurring in the sample. This snapshot is then compared to previously identified phenotypes to provide information on sample classification or characterization.
01.
Detection
Light-matter interactions are strongly modulated by the intrinsic properties of the particles and the incident radiation. We are detecting a specific light pattern scattered by particles in the sample, caused by an electromagnetic potential that temporarily disturbs the natural motion of the particles. This signal can be translated into relevant physical properties of the particles, including size, structure, and optical polarizability, and utilized to gain information on the molecular content of the sample.
03.
Analysis
Leveraged by an AI-based analysis, our platform uses data on the biophysical particle properties to provide an agnostic and label-free sample phenotyping approach. A single sample analysis can be used to capture different perspectives of the sample biology, simultaneously answering distinct biological problems. Our signatures are composed by multiple layers of information that provide insights on distinct analytes ranging from small molecules to single cells.
Enabling early, precise detection through non-invasive, rapid blood analysis, streamlining patient stratification in clinical trials.
Disease screening
Allowing for accurate forecasting of disease progression and treatment outcomes.
Predictive disease modelling Ensuring high accuracy and consistency in complex samples analysis across various biomedical fields.
Quality control