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Related Concept Videos

Infrared (IR) Spectroscopy: Overview01:09

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...
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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...
Applications of IR Spectroscopy: Overview01:11

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The non-destructive nature and ability to provide valuable chemical information make IR spectroscopy a versatile technique with broad applications in various scientific and industrial fields. IR spectroscopy is commonly used to identify and characterize organic and inorganic compounds. It provides information about the functional groups present in a molecule and the bonding between atoms. This helps in the structural elucidation of compounds during organic synthesis, pharmaceutical research,...
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Attenuated total reflectance (ATR) infrared spectroscopy is a powerful analytical technique used to study the composition of materials. It is widely employed in chemistry, materials science, forensic science, and other fields where sample characterization is required. ATR has several advantages over traditional transmission IR spectroscopy, including the requirement of little to no sample preparation and the ability to analyze a wide range of samples.
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Updated: Jun 27, 2026

Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography
11:21

Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography

Published on: January 15, 2013

Image correlation spectroscopy.

Anja Nohe1, Nils O Petersen

  • 1Department of Chemical and Biological Engineering, University of Maine, Orono, ME 04469, USA. anohe@umche.maine.edu

Science'S STKE : Signal Transduction Knowledge Environment
|December 20, 2007
PubMed
Summary
This summary is machine-generated.

Image correlation spectroscopy (ICS) techniques analyze protein dynamics and clustering within plasma membrane domains. These methods, including ICCS and DICS, reveal receptor protein aggregation and colocalization during live-cell imaging.

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Area of Science:

  • Cell biology
  • Biophysics
  • Microscopy

Background:

  • Plasma membrane domains like caveolae and clathrin-coated pits are crucial for cell signaling and protein internalization.
  • Understanding the dynamics and organization of proteins within these microdomains is essential for deciphering cellular functions.

Purpose of the Study:

  • To investigate the dynamics, aggregation, and colocalization of receptor proteins within plasma membrane microdomains.
  • To highlight the utility of image correlation spectroscopy (ICS) techniques for studying these processes.

Main Methods:

  • Utilized fluorescence imaging and microscopy.
  • Applied image correlation spectroscopy (ICS) techniques, including image cross-correlation spectroscopy (ICCS) and dynamic image correlation spectroscopy (DICS).

Main Results:

  • ICS quantifies cluster density and aggregation degree of plasma membrane proteins.
  • ICCS measures the colocalization fraction between two different proteins.
  • DICS analyzes protein dynamics on the cell surface during live-cell imaging.

Conclusions:

  • ICS techniques offer powerful tools for characterizing protein behavior in membrane microdomains.
  • These methods enable detailed analysis of protein aggregation, clustering, and dynamics in real-time cellular environments.