FT-IR Microscopic Imaging of Large Samples with 4x and 15x Infrared Objectives: A Case Study of a Carcinoma Tissue Section
Fourier transform infrared (FTIR) microscopic imaging uses a combination of an FTIR spectrometer with a microscope and Focal Plane Array (FPA) detector. The method has been recognized as a powerful and versatile imaging tool in many disciplines, ranging from biomedical research through to materials science, art conservation and forensics.
Machine Learning Accelerates Clinical Progress of SERS Technology
May 22nd 2025A new review in TrAC Trends in Analytical Chemistry by Alfred Chin Yen Tay and Liang Wang highlights how machine learning (ML) is transforming surface-enhanced Raman spectroscopy (SERS) into a powerful, clinically viable tool for rapid and accurate medical diagnostics.
Describing Their Two-Step Neural Model: An Interview with Ayanjeet Ghosh and Rohit Bhargava
May 20th 2025In the second part of this three-part interview, Ayanjeet Ghosh of the University of Alabama and Rohit Bhargava of the University of Illinois Urbana-Champaign discuss how machine learning (ML) is used in data analysis and go into more detail about the model they developed in their study.
Analyzing the Protein Secondary Structure in Tissue Specimens
May 19th 2025In the first part of this three-part interview, Ayanjeet Ghosh of the University of Alabama and Rohit Bhargava of the University of Illinois Urbana-Champaign discuss their interest in using discrete frequency infrared (IR) imaging to analyze protein secondary structures.
New SERS Platform Enhances Real-Time Detection of Cardiovascular Drugs in Blood
May 13th 2025Researchers at Harbin Medical University recently developed a SERS-based diagnostic platform that uses DNA-driven “molecular hooks” and AI analysis to enable real-time detection of cardiovascular drugs in blood while eliminating interference from larger biomolecules.
Developing Sensitive Optical Methods for Early Disease Detection
May 5th 2025Noureddine Melikechi, dean of the Kennedy College of Sciences and professor at the University of Massachusetts Lowell, shares his work on the early detection of diseases like epithelial ovarian cancer and Alzheimer’s.
