chanelink logo
CHANELINK
English

New machine learning algorithm accurately decodes molecular optical 'fingerprints'

362
2025-05-09 10:57:00
See translation

Recently, a research team from Rice University in the United States developed a new machine learning algorithm - Peak Sensitive Elastic Network Logistic Regression (PSE-LR). This algorithm is adept at interpreting the unique optical characteristics of molecules, materials, and disease biomarkers, which can help achieve faster and more accurate medical diagnosis and sample analysis. The relevant paper was published in the latest issue of the journal Nano.

The research team stated that the core breakthrough of this technology lies in teaching computers to recognize unique "fingerprints" generated by the interaction between molecules or materials and light. With the help of this technology, in the future, doctors may be able to capture early signals of Alzheimer's disease by simply shining light on a drop of liquid or tissue sample.

PSE-LR not only has the ability to distinguish autumn hair, but also has the interpretability of being open and honest. Unlike other "black box" machine learning models, it can generate clear "feature importance maps" that accurately highlight key spectral segments, making diagnostic results reliable, interpretable, traceable, and easy to verify.

Compared with other machine learning models, PSE-LR shows superior performance, especially in identifying subtle or overlapping spectral features. In addition, in the subsequent series of validation experiments, the performance of the algorithm was also commendable, including the successful detection of the trace presence of COVID-19 spike protein in the liquid, the accurate identification of neuroprotective components in mouse brain tissue, the effective differentiation of microscopic spectral differences in Alzheimer's disease samples, and the identification of the unique optical characteristics of two-dimensional semiconductor materials.

Source: Opticsky

Related Recommendations

  • Shanghai Optics and Machinery Institute has made progress in the research of new terahertz sources based on Yb lasers

    Recently, the State Key Laboratory of Intense Field Laser Physics of the Chinese Academy of Sciences Shanghai Institute of Optics and Fine Mechanics has made new progress in generating intense field terahertz waves based on Yb laser pumped organic crystals. The relevant research results were published in Applied Physics Letters under the title "Efficient strong field THz generation from DSTMS crys...

    2024-04-09
    See translation

  • Aerotech launches new micro hexapod sports platform

    Recently, Aerotech Inc., a global leader in precision motion control and automation, launched the HexGen HEX150-125HL miniature hexapod motion platform, a six degree of freedom (DOF) precision positioning system. This compact and cost-effective hexapod sports platform has a base diameter of 150 millimeters and a nominal height of 125 millimeters. It can achieve a minimum incremental movement of up...

    01-14
    See translation

  • Sivers Semiconductors, an optoelectronic semiconductor company, splits off its photonics business and goes public independently

    Recently, Sivers Semiconductors, a leading supplier of integrated chips and photonics modules for communication and sensing solutions, announced a significant strategic initiative:It will divest its subsidiary Sivers Photonics Ltd, which has signed a non binding letter of intent (LOI) with byNordic Acquisition Corporation and plans to achieve independent listing through a merger. This move aims ...

    2024-08-26
    See translation

  • Veeco Instruments wins IBM big order

    On August 14th local time, Veeco Instruments, a well-known American laser annealing manufacturer, announced an important cooperation with technology giant IBM. It is reported that IBM has selected Veeco Instruments' WaferStorm wet processing system as support for its advanced packaging applications, and the two parties have signed a joint development agreement to explore the potential of utilizi...

    2024-08-23
    See translation

  • Researchers at Georgia Institute of Technology have developed cost-effective nanoscale printing

    A team of researchers from Georgia Institute of Technology has developed a scalable printing system for metal nanostructures using a new technology called superluminescent light projection. The inventor of this technology Dr. Sourabh Saha and Jungho Choi submitted a patent application for nanoscale printing.Nowadays, the cost of existing nanoscale printing technologies hinders their widespread use...

    2024-02-19
    See translation