A Chemical Imaging Platform for Discovery Biosciences (CIP-DB).
A Chemical Imaging Platform for Discovery Biosciences (CIP-DB).
批准号:
BB/R013667/1
负责人:
Geraint Thomas
金额:
$44.98万
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2018
资助国家:
英国
项目状态:
已结题
起止时间:
2018 至 --
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Understanding the biology of cells, their component molecules and behaviors and characteristics when aggregated into tissues has always been a key goal in life science and medicine. Advances in microscopy are profoundly changing the way cells, sub-cellular structures, molecules and tissues can be studied. For a research intensive institution, such as UCL, to remain a competitive leader in biomedical sciences, it is essential to adopt transformative imaging technologies when their power is recognized, the technology is affordable, well understood and established as viable for transformative bioscience work. Furthering our understanding of health and diseases requires a deep knowledge of the cell, its constituents and their development from very early stages of life. How to image intact, large-scale, live or preserved postmortem cells, tissues and organisms at high spatial and spectroscopic resolution with and sensitivity remains a key challenge.UCL's international reputation as a key contributor in bioscience/biomedical discoveries has, in part, been successful because of it's sustained commitment to be an early adopter of new, transformative technologies. One new and powerful pathway toward this goal is to image directly (without the use of reporter probe molecules) the chemical and biochemical properties of cells and tissues over time. This must be done with equipment that is capable of capturing at high speed images with sufficient fine spatial detail and at very high chemical resolution so that hitherto, unknown processes can be discovered and studied. Raman imaging technology is particularly suited to the study of key distibutions and properties of biomolecules during embryogenesis, tissue differentiation, changes in phenotype during health and disease and performance of their biochemical function. CIP-DB will add a new dimension of support to cutting edge research in life and biomedical sciences. The Raman microscope is a unique system that enables acquisition of highly detailed, qualitative and quantitative information on the chemical composition of a tissue or cellular sample pixel-by-pixel. From this data images displaying the distribution of chemical species much like a multi-idimensional virtual staining, but without the introduction of probes, dyes, antibodies or genetically encoded markers, can be constructed. These images provide rich biochemical and molecular biological information and their spatial distribution. This characterization of biological samples is essentially orthogonal to that collected through other light microscopic techniques like the fluorescence imaging used almost universally and exclusively in modern cellular biosciences. Furthermore confocality and near infrared illumination will allow deep probing of samples and 3D chemical image reconstruction. Contour tracking technology will allow application of the technique to non-flat, rough or complex surfaces. This will allow unprocessed tissue samples to be analysed as well as samples where the thickness is changing over the duration of the experiment through growth, swelling or other changes.The main co-applicants on this proposal are, therefore, research groups at UCL and colleagues in nearby research institutes whose focus is on aspects of molecular cell and developmental biology and biochemistry trying to elucidate the fundamental processes and key events/factors that underlie organismal development in both health and disease. In addition, the microscope will be accessible to a large number of diverse research projects addressing many outstanding questions in fundamental biosciences. The requested funds will enable us to obtain a one of the leading Raman microscope that will significantly enhance our research capabilities and lead to new scientific discoveries.
期刊论文(6)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1039/c9an01030k
发表时间:
2020-02-17
期刊:
The Analyst
影响因子:
--
作者:
[Gaifulina R , Caruana DJ , Oukrif D , Guppy NJ , Culley S , Brown R , Bell I , Rodriguez-Justo M , Lau K , Thomas GMH ]
通讯作者:
Thomas GMH
DOI:
10.3390/cancers15061720
发表时间:
2023-03-11
期刊:
Cancers
影响因子:
5.2
作者:
[]
通讯作者:
DOI:
10.3390/diagnostics12061491
发表时间:
2022-06-17
期刊:
Diagnostics (Basel, Switzerland)
影响因子:
--
作者:
[]
通讯作者:
Learn to Discover (L2D): A Training Platform in Data Sciences and Machine Learning for Biomedicine and Health Researchers.
-
批准号:MR/V039229/1
-
项目类别:Research Grant
-
资助金额:$118.61万
-
财政年份:2021
-
负责人:Geraint Thomas
-
依托单位:
University College London 2021 Flexible Talent Mobility Account
-
批准号:BB/W510853/1
-
项目类别:Research Grant
-
资助金额:$12.15万
-
财政年份:2021
-
负责人:Geraint Thomas
-
依托单位:
University College London Flexible Talent Mobility Account
-
批准号:BB/S508019/1
-
项目类别:Research Grant
-
资助金额:$22.88万
-
财政年份:2018
-
负责人:Geraint Thomas
-
依托单位:
SysMIC 2.0
-
批准号:BB/P023819/1
-
项目类别:Research Grant
-
资助金额:$2.39万
-
财政年份:2017
-
负责人:Geraint Thomas
-
依托单位:
Systems training in maths informatics and computational biology (SySMIC)
-
批准号:BB/I014837/1
-
项目类别:Research Grant
-
资助金额:$105.75万
-
财政年份:2012
-
负责人:Geraint Thomas
-
依托单位:
国内基金
海外基金
非小细胞肺癌Biomarker的Imaging MS研究新方法
-
批准号:30672394
-
项目类别:面上项目
-
资助金额:30.0万元
-
批准年份:2006
-
负责人:陆豪杰
-
依托单位: