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A framework for the in silico modeling and investigation of time dependent photobiophysical phenomena

A framework for the in silico modeling and investigation of time dependent photobiophysical phenomena
时间依赖性光生物物理现象的计算机建模和研究框架
批准号:
238337-2010
负责人:
Baranoski, Gladimir
金额:
$1.46万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2014
资助国家:
加拿大
项目状态:
已结题
起止时间:
2014-01-01 至 2015-12-31

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中文摘要
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英文摘要
The predictive assessment of the beneficial and harmful effects of light (radiation) incidence on plant and human tissues, from photosynthesis to the development of cancer, is of fundamental importance since it can be used to improve the quality of human and animal life and to provide alternatives for environmental problems on a global scale. The purpose of this research program is to break new ground toward such an assessment. It will expand the boundaries of realistic image synthesis through the predictive simulation of time dependent photobiophysical phenomena responsible for appearance changes in natural materials. Skin related processes, such as tanning, aging and lesion formation, triggered by ultraviolet radiation are examples of such phenomena. In these cases, the simulation of appearance changes may be used to assist the prevention, diagnosis and treatment of skin diseases. Color changes observed in plant leaves under nutrient and water stress are also examples of such phenomena. In these cases, "virtual" experiments can provide reliable feedback with respect to different agricultural strategies that can be applied to cope with these adverse conditions and improve crop production. Once a computer simulation framework is designed and validated through a sound scientific methodology, as proposed in this research program, it can be employed in the "in silico" investigation of phenomena that cannot be fully studied through traditional experimental procedures. Accordingly, it can be used to assist in the hypothesis generation and validation cycles of research in different scientific domains. Hence, the proposed simulation framework will contribute to interdisciplinary research efforts in fields such as biomedical optics, biophysical dermatology and remote sensing, in addition to fundamental contributions to computer graphics through the design of predictive algorithms for the generation of realistic images depicting time dependent appearance changes, Furthermore, this research program may lead to the emergence of innovative technologies (e.g., new devices for the noninvasive diagnostic of medical conditions) as well as the establishment of government policies for ecological issues and testing protocols for new protective materials.
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