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Related Experiment Video

Updated: Jan 25, 2026

Quail Chorioallantoic Membrane - A Tool for Photodynamic Diagnosis and Therapy

Quail Chorioallantoic Membrane - A Tool for Photodynamic Diagnosis and Therapy

Published on: April 28, 2022

Multiplexed imaging for diagnosis and therapy.

Kathrin Heinzmann¹, Lukas M Carter², Jason S Lewis²

¹Department of Surgery and Cancer, Imperial College London, Du Cane Road, London, W12 0NN, UK.

Nature Biomedical Engineering

|April 25, 2019

Summary

This summary is machine-generated.

Precision imaging detects cancer phenotypes using in vivo technologies. Multiplexed molecular imaging probes enhance diagnosis and therapy monitoring by analyzing spatial and molecular contexts.

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Last Updated: Jan 25, 2026

Quail Chorioallantoic Membrane - A Tool for Photodynamic Diagnosis and Therapy

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Published on: April 28, 2022

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Published on: June 24, 2017

Area of Science:

Oncology
Molecular Imaging
Radiology

Background:

Cancers exhibit complex molecular and metabolic phenotypes, necessitating advanced diagnostic tools.
Precision imaging requires flexible modalities to capture phenotypic fingerprints sensitive to biological regulation.
In vivo imaging technologies are crucial for disease classification and patient stratification in radiology.

Purpose of the Study:

To review criteria for multiplexed imaging.
To discuss opportunities for improving cancer diagnosis and therapy monitoring.
To highlight the role of molecular imaging probes in detecting oncogene-driven alterations.

Main Methods:

Evaluation of criteria for conducting multiplexed imaging.
Analysis of molecular imaging probe palettes for heterogeneity detection.
Discussion of spatial and molecular context in imaging data analysis.

Main Results:

Multiplexed imaging offers opportunities to improve patient diagnosis.
Targeted molecular probes facilitate detection of treatment response.
Integration of spatial and molecular context is key for accurate phenotypic fingerprinting.

Conclusions:

Multiplexed molecular imaging is vital for understanding cancer heterogeneity.
This approach enhances the potential for personalized cancer therapy and monitoring.
Future research should focus on rational design for combined imaging experiments.