Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

IR Frequency Region: Fingerprint Region

IR Frequency Region: Fingerprint Region

IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...

Infrared (IR) Spectroscopy: Overview

Infrared (IR) Spectroscopy: Overview

When electromagnetic radiation passes through a material, atoms or molecules transition from a lower to a higher energy state by absorbing radiation corresponding to the energy difference between the two states. The absorption of infrared (IR) radiation causes transitions between vibrational energy levels in a molecule. Therefore, IR spectroscopy is a useful analytical tool for determining the molecular structure of molecules.
Different compounds display unique properties due to their...

IR Spectrometers

IR Spectrometers

There are two main infrared (IR) spectrophotometers: dispersive IR spectrometers and Fourier transform infrared (FTIR) spectrometers. In a dispersive IR spectrometer, a beam of infrared radiation produced by a hot wire is divided into two parallel equal-intensity beams using mirrors. One beam passes through the sample, while another is a reference beam. The beams then move through the monochromator, which separates the radiations into a continuous spectrum of different frequencies. The...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

On-Chip Raman Spectroscopy for Rapid Antimicrobial Susceptibility Testing from Blood Cultures.

Analytical chemistry·2026

Same author

Preanalytical Workflow Establishment for Reproducible Clinical Blood-Based Infrared Molecular Fingerprinting.

Analytical chemistry·2026

Same author

Synthetic blood-based infrared molecular fingerprints: artificial cohorts for methodological research.

Analytical methods : advancing methods and applications·2026

Same author

Current trends in machine learning for surface-enhanced Raman spectroscopy.

The Analyst·2026

Same author

Lightweight CycleGAN models for cross-modality image transformation and experimental quality assessment in fluorescence microscopy.

Biomedical optics express·2026

Same author

Denoising and Baseline Correction of Low-Scan FTIR Spectra: A Benchmark of Deep Learning Models Against Traditional Signal Processing.

Bioengineering (Basel, Switzerland)·2026

Same journal

Biodegradable Self-Powered Electrotherapy Patch for Integrated Smart Wound Management.

Analytical chemistry·2026

Same journal

Metabolite Fraction Libraries for Quantitative NMR Metabolomics.

Analytical chemistry·2026

Same journal

Self-Contained Lateral-Flow Microfluidic Bead-Based Assay for Rapid Quantification of Early-Stage Kidney Biomarkers.

Analytical chemistry·2026

Same journal

Overcoming the Debye Shielding Effect with Concave-Convex Structures for Sensitivity-Enhanced Thin-Film Transistors.

Analytical chemistry·2026

Same journal

Mode-Phase-Difference Photothermal Spectroscopy Assisted by a Bent Biconically Tapered Microfiber for Gas Sensing.

Analytical chemistry·2026

Same journal

Negative-Pressure-Actuated Microfluidics: A Dual-Mode Point-of-Care Sensor for Allergen-Specific IgE in Interstitial Fluid.

Analytical chemistry·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 21, 2025

High-definition Fourier Transform Infrared FT-IR Spectroscopic Imaging of Human Tissue Sections towards Improving Pathology

High-definition Fourier Transform Infrared FT-IR Spectroscopic Imaging of Human Tissue Sections towards Improving Pathology

Published on: January 21, 2015

Bridging Spectral Gaps: Cross-Device Model Generalization in Blood-Based Infrared Spectroscopy.

Flora B Nemeth^1,2,3, Niklas Leopold-Kerschbaumer^2,3, Diana Debreceni¹

¹Center for Molecular Fingerprinting (CMF), 1093 Budapest, Hungary.

Analytical Chemistry

|May 7, 2025

Summary

This summary is machine-generated.

This study introduces a data augmentation method to improve machine learning model generalization for blood infrared spectroscopy across different devices. The technique enhances model accuracy and reliability when transferring models between Fourier-Transform Infrared (FTIR) spectroscopy instruments.

More Related Videos

Characterization of Biological Absorption Spectra Spanning the Visible to the Short-Wave Infrared

Characterization of Biological Absorption Spectra Spanning the Visible to the Short-Wave Infrared

Published on: January 10, 2025

Multimodal Imaging and Spectroscopy Fiber-bundle Microendoscopy Platform for Non-invasive, In Vivo Tissue Analysis

Multimodal Imaging and Spectroscopy Fiber-bundle Microendoscopy Platform for Non-invasive, In Vivo Tissue Analysis

Published on: October 17, 2016

Related Experiment Videos

Last Updated: May 21, 2025

High-definition Fourier Transform Infrared FT-IR Spectroscopic Imaging of Human Tissue Sections towards Improving Pathology

High-definition Fourier Transform Infrared FT-IR Spectroscopic Imaging of Human Tissue Sections towards Improving Pathology

Published on: January 21, 2015

Characterization of Biological Absorption Spectra Spanning the Visible to the Short-Wave Infrared

Characterization of Biological Absorption Spectra Spanning the Visible to the Short-Wave Infrared

Published on: January 10, 2025

Multimodal Imaging and Spectroscopy Fiber-bundle Microendoscopy Platform for Non-invasive, In Vivo Tissue Analysis

Multimodal Imaging and Spectroscopy Fiber-bundle Microendoscopy Platform for Non-invasive, In Vivo Tissue Analysis

Published on: October 17, 2016

Area of Science:

Spectroscopy
Machine Learning
Biomedical Engineering

Background:

Blood infrared spectroscopy is gaining popularity for analysis.
Machine learning models often struggle with cross-device generalization due to device variations.
Ensuring model performance across different instruments is crucial for widespread adoption.

Purpose of the Study:

To develop a method for improving cross-device model generalization in blood infrared spectroscopy.
To enhance the adaptability of machine learning models to unique device characteristics.
To validate a novel domain adaptation technique.

Main Methods:

A straightforward domain adaptation method using data augmentation.
Incorporating device-specific differences into the augmented training data.
Experimental validation on two distinct Fourier-Transform Infrared (FTIR) spectroscopy devices.

Main Results:

The proposed data augmentation method significantly improved prediction accuracy.
Enhanced model reliability when applied to a different FTIR device.
Demonstrated effective adaptation to inter-device variations.

Conclusions:

Data augmentation incorporating device-specific differences is an effective strategy for cross-device generalization in blood infrared spectroscopy.
The method enhances the practical utility of machine learning models in this field.
This approach offers a viable solution for deploying spectroscopy models across diverse laboratory settings.