Biophotonics Diagnostics USA Inc.
Transform Raman Spectral Data into Trustworthy Clinical Intelligence
About Biophotonics Diagnostics USA Inc.
Biophotonics Diagnostics USA, Inc. is the analytics company specializing in vibrational spectroscopy applications and RamanMetrix software — a specialized Raman-spectroscopy analytical platform. We develop, integrate, and support software that turns Raman spectral data into trustworthy information. With deep domain expertise in Raman spectroscopy, our data processing engine is purpose-built specifically for vibrational spectroscopy, delivering spectral processing, automated quality control, and model evaluation capabilities.
Our focused U.S. team provides local development, integration, validation support, and technical expertise backed by 20+ years of German parent-company experience. We serve academic medical and research institutions, research foundations, and medical-device manufacturers seeking analytical software integration, validation, and regulatory support. Our commitment is to advance diagnostic capabilities through innovative spectroscopy analytics and comprehensive lifecycle support.
RamanMetrix
Validation
In the case of supervised models, their performance can be reliably verified using custom group-out vross-validation, including an option of nested cross-validation. Additional, most reliable, model validation can be done by applying it to unseen labelled test data sets. When completed, the results report with clear information is presented in the form of diagrams, a summary of the metadata and the prediction. In addition to the report, detailed results can be exported as csv files listing all pre-processed spectra, metadata tables and predictions for each spectrum.
Machine learning
After the pre-processing steps and optional quality check, it is possible to construct either supervised or unsupervised machine learning models. To avoid overfitting the models, dimensionality reduction is performed using principal component analysis (PCA) or a convolutional neural network (CNN). Depending on whether an identification or concentration determination is to be carried out, a classification or regression model is required. The following models are available in the software for this purpose:
Data standardization
Raman spectra can be imported into the software in various common spectroscopic data formats. In the first step after the data import, a number of different pre-processing steps are carried out to standardise the spectra. Advanced users have access to a wide range of manually adjustable pre-processing parameters and individual data quality filters. Individual data processing steps can be monitored by recording the mean spectra at each step.