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Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation

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Inductively coupled plasma (ICP) is the common plasma source used in atomic emission spectroscopy (AES), a technique that detects and analyzes various elements in a sample. This method is often called inductively coupled plasma atomic emission spectroscopy (ICP-AES).
There are three main types of inductively coupled plasma atomic emission spectroscopy (ICP-AES) instruments: sequential, simultaneous multichannel, and Fourier transform instruments, with the latter being less commonly used....

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Updated: May 3, 2026

Three-dimensional Optical-resolution Photoacoustic Microscopy

Three-dimensional Optical-resolution Photoacoustic Microscopy

Published on: May 4, 2011

Absolute Quantitative Photoacoustic Imaging for Contrast Agents Concentration Estimation Using a Spectral

Shang Gao¹, Liudmila Serebrennikova², Ryo Murakami¹

¹Department of Robotics Engineering, Worcester Polytechnic Institute, Worcester, MA, USA.

Molecular Imaging

|March 4, 2026

Summary

This summary is machine-generated.

This study introduces a spectral decomposition method to improve photoacoustic imaging quantification of contrast agents. The new technique enhances accuracy for medical diagnostics and therapeutic monitoring.

Keywords:

contrast agent quantification molecular imaging photoacoustic imaging spectral decomposition tumor detection

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Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography

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Photoacoustic Cystography

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Published on: June 11, 2013

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Last Updated: May 3, 2026

Three-dimensional Optical-resolution Photoacoustic Microscopy

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Photoacoustic Cystography

Photoacoustic Cystography

Published on: June 11, 2013

Area of Science:

Biomedical Imaging
Medical Diagnostics
Optical Imaging

Background:

Photoacoustic (PA) imaging offers diagnostic potential but struggles with accurate contrast agent (CA) quantification.
Nonlinear signal responses and spectral shifts at varying concentrations limit clinical utility.

Purpose of the Study:

To develop a spectral decomposition method for improved absolute CA concentration estimation in PA imaging.
To overcome limitations of traditional intensity-based quantification methods.

Main Methods:

Utilized a reference spectral library for spectral decomposition.
Corrected for signal distortions and nonlinear behavior in PA signals.
Validated using in vitro experiments with a PSMA-targeted CA and dynamic tracking of ICG in ex vivo tissue.

Main Results:

Achieved significantly lower concentration estimation errors: 1.80 µM in saline and 3.34 µM in blood.
Demonstrated enhanced reliability and robustness compared to conventional techniques.
Successfully validated the spectral-based quantification in different biological environments.

Conclusions:

The spectral decomposition method offers precise and robust CA quantification in PA imaging.
This technique holds potential for clinically translatable PA imaging applications.
Enables accurate CA measurement for early disease detection, surgical guidance, and therapeutic monitoring.