Imperial College London

DrJamesMcGinty

Faculty of Natural SciencesDepartment of Physics

Senior Lecturer
 
 
 
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Contact

 

+44 (0)20 7594 7719james.mcginty

 
 
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Location

 

621Blackett LaboratorySouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{McGinty:2016,
author = {McGinty, J and French, P and Frankel, P},
journal = {Biochemist},
pages = {12--15},
title = {Novel 3D imaging platform tracks cancer progression in vivo},
volume = {38},
year = {2016}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - © 2016 Biochemical Society. Optical imaging underpins biomedical research in many respects and recent decades have seen spectacular advances, particularly in fluorescence imaging where genetic engineering approaches to labelling have been combined with new light sources, detectors and data analysis techniques to provide capabilities like super-resolution beyond the diffraction limit, exquisite spectroscopic contrast for molecular readouts and high-speed image capture for in vivo and high-throughput applications. However, the main impact of such advanced instrumentation and data analysis has been to provide unprecedented quantitative 2D and 3D information concerning samples compatible with microscopy where volumes of less than 1 mm3 are typically imaged in a single 'acquisition'. The ability to view and measure cellular processes and signalling pathways in live cells has been a significant advance for biomedical research and drug discovery. However, for conventional microscope-based assays and experiments, the samples typically comprise thin layers of cells that are not experiencing the same signals that they would in a 3D tissue context and any findings may not directly translate to live organisms. It is desirable to study disease processes in live intact organisms that can provide appropriate physiological complexity. For cancer studies, recent research from our group shows that optical tomography can be used to directly monitor in vivo changes in tumour growth and vascular development in a zebrafish cancer model over time. This technique not only improves the value of the collected data, but if used on a wider scale should result in a reduction in the number of animals used in biomedical research.
AU - McGinty,J
AU - French,P
AU - Frankel,P
EP - 15
PY - 2016///
SN - 0954-982X
SP - 12
TI - Novel 3D imaging platform tracks cancer progression in vivo
T2 - Biochemist
VL - 38
ER -