Field of study:
Biologie, Pflanzenbiotechnologie, Molekulare und Angewandte Pflanzenwissenschaften, Physik, Nanotechnologie, Technische Informatik, Maschinenbau, Optische Technologien, o.ä.
Background
Biological samples exhibit a high level of complexity, both in their structural and chemical composition. When investigating the structure of these samples, it is crucial to consider the chemical constituents, as they play a significant in determining the structural behavior and integrity. Understanding the chemical composition provides essential insights into the interactions and functions of various components within the biological matrix. Moreover, the intricate relationship between the chemical makeup and structural properties of biological samples necessitates sophisticated analytical techniques.
Raman spectroscopy, combined with multivariate analysis, offers a powerful approach to unraveling this complexity. By mapping the distribution of chemical components, researchers can gain a deeper understanding of how these constituents contribute to the overall structure and function of the sample. This detailed chemical information is vital for various applications, from diagnosing diseases and understanding pathological changes to developing new materials and improving agricultural practices.
Tasks
The aim of this project is to explore the multivariate analysis of experimentally acquired Raman data to identify and map the distribution of different chemical components within the samples. This involves:
- Applying advanced preprocessing techniques to ensure the acquired data is clean and suitable for analysis.
- Utilizing sophisticated multivariate analysis methods, such as Principal Component Analysis (PCA) and Partial Least Squares (PLS), to interpret the complex Raman data.
- Producing detailed chemical maps that visually represent the spatial distribution of chemical components across the samples.
- Integrating the chemical maps with structural data to provide a comprehensive understanding of the samples' composition and structural properties.
Ansprechpartner:
Bei Interesse an dieser Arbeit wenden Sie sich bitte mit aktuellem Notenspiegel an Herrn Landes:
timm.landes@hot.uni-hannover.de