Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
INTEGRA BIOSCIENCES AG

Download Mobile App





Coronavirus Screening Platform Uses Machine Learning Algorithms to Detect SARS-CoV-2 Structural Fingerprint in Real Time

By LabMedica International staff writers
Posted on 27 Aug 2020
A screening platform that can identify biological threats by shining a laser onto the sample and interpreting the light that scatters is being used to develop a coronavirus screening platform, according to a report by BioSpace.

Botanisol Analytics (Phoenix, AZ, USA) is developing the screening platform that can identify biological threats, including contaminants and pathogens (such as the novel coronavirus), by shining a laser onto the sample. More...
The screener uses next generation Raman spectroscopy, which generates a unique structural ‘fingerprint’ for each molecule or even entire structures, such as whole cells or viruses. The laser interacts with the molecules in the sample, which absorb its energy and emit a higher or lower energy light. A detector collects the new light wavelengths that are emitted and turns them into digital input. A computer interprets the results to produce a Raman spectrum, the unique patterns of scattered light wavelengths represented as peaks. Artificial intelligence can then scan a spectrum to check for any unique patterns related to specific molecules or pathogens.

Using machine learning algorithms, the technology can identify salient differences between healthy and infected cells which could be present in an upper respiratory or saliva sample. As a coronavirus screener, the test output would be if someone is at low or high risk of carrying the virus, allowing people to be quickly grouped for release (low risk) or triage for further testing (high risk), according to BioSpace. The device could screen people for COVID-19 in real time, providing answers about what is in a sample in a matter of minutes. Botanisol’s ‘next generation’ system is also extremely sensitive and is able to detect something in the sample down to parts per million (ppm) or trillion (ppt), thanks to the use of a new type of laser that produces the smallest wavelength able to be transmitted through air under normal conditions, according to the BioSpace report.

“It’s a real-time snapshot of all the molecules in a patient’s sample,” David Talenfeld, JD, MBA, MGM, CEO of Botanisol, told BioSpace. “The device can be calibrated to detect a chemical or pathogen, like coronavirus, whose spectral ‘fingerprint’ is known."

“In the future you could take samples from people getting off of an airplane, quickly screening everyone,” added Talenfeld. “The people identified as ‘high risk’ for carrying coronavirus can be diverted to a special waiting area for further testing.”

Related Links:
Botanisol Analytics


Platinum Member
SARS-CoV-2 Reactive & Non-Reactive Controls
Qnostics SARS-CoV-2 Typing
Verification Panels for Assay Development & QC
Seroconversion Panels
Anti-Cyclic Citrullinated Peptide Test
GPP-100 Anti-CCP Kit
Gold Member
Flock Tipped Applicator
HydraFlock 6" Sterile Large Flock Swab w/Polystyrene Handle, 80mm Breakpoint
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Clinical Chemistry

view channel
Image: QIP-MS could predict and detect myeloma relapse earlier compared to currently used techniques (Photo courtesy of Adobe Stock)

Mass Spectrometry-Based Monitoring Technique to Predict and Identify Early Myeloma Relapse

Myeloma, a type of cancer that affects the bone marrow, is currently incurable, though many patients can live for over 10 years after diagnosis. However, around 1 in 5 individuals with myeloma have a high-risk... Read more

Immunology

view channel
Image: The cancer stem cell test can accurately choose more effective treatments (Photo courtesy of University of Cincinnati)

Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer

Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more

Technology

view channel
Image: Ziyang Wang and Shengxi Huang have developed a tool that enables precise insights into viral proteins and brain disease markers (Photo courtesy of Jeff Fitlow/Rice University)

Light Signature Algorithm to Enable Faster and More Precise Medical Diagnoses

Every material or molecule interacts with light in a unique way, creating a distinct pattern, much like a fingerprint. Optical spectroscopy, which involves shining a laser on a material and observing how... Read more

Industry

view channel
Image: The collaboration aims to leverage Oxford Nanopore\'s sequencing platform and Cepheid\'s GeneXpert system to advance the field of sequencing for infectious diseases (Photo courtesy of Cepheid)

Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions

Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.