Heuristic approach to take up the challenge of terahertz time-domain spectroscopy for biology
Abstract
Approche heuristique pour relever les défis de la spectroscopie terahertz dans le domaine temporel pour la biologie: Le domaine TeraHertz (THz) est de plus en plus attractif grâce à ses propriétés particulières. Il se situe à la limite haute des fréquences pour l'électronique, ce qui crée de nombreuses applications pour les télécommunications. De plus, de par la faible énergie du photon THz, il y a des applications dans des domaines variés tels que la sécurité, le contrôle non-destructif dans l'industrie, ou l'astronomie. Puisque ce rayonnement est non ionisant, un autre domaine d'application est la biologie. Le nombre de papiers publiés dans la littérature ces vingt dernières années n'a fait qu'augmenter, ce qui a été rendu possible par les avancées sur les dispositifs de spectroscopie TeraHertz à domaine temporel. De nombreuses études ont été réalisées sur des sucres, des solvants, ainsi que sur de l'ADN et des protéines. Cependant, il n'y a toujours pas de consensus dans la communauté THz concernant les protocoles expérimentaux et d'analyse des données à implémenter. Cette thèse propose un protocole de "fit" (ou d'ajustement des données) dans le domaine temporel fiable, ainsi qu'un critère de comparaison, ce qui permet une plus grande confiance dans les résultats obtenus et de les comparer à la théorie. Nous pouvons donc avancer et analyser des échantillons toujours plus complexes, de manière à être de plus en plus proche des conditions in vivo pour les échantillons biologiques. En effet, j'ai pu fournir de nouvelles perspectives à l'analyse de l'eau liquide, qui est un sujet phare depuis les débuts de la spectroscopie TeraHertz à domaine temporel, et sur l'influence des ions et des protéines sur sa structure. En outre, nous avons rendue possible l'analyse de petits échantillons, que ce soit en taille ou en quantité, grâce à notre dispositif appelé "papillon". Notre solution d'analyse des données n'est ni parfaite ni optimale. Les protocoles ainsi que le logiciel de fit peuvent encore être améliorés, mais ils ont permis de fournir des résultats fiables et donnent un critère pour la comparaison d'information. Nous espérons que ce travail ouvrira la voie à une meilleure compréhension et de plus complexes expériences sur les échantillons biologiques grâce à la spectroscopie TeraHertz à domaine temporel.
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The main sources of noise identified are variation of laser power and delay line position, which impact the time sampling step.
“Hence, the main sources of noise identified are the variation of the laser power and the delay line position which impact the time sampling step.”
From Signal Estimation and Uncertainties Extraction in Terahertz Time-Domain Spectroscopy (2025) · cites this paper as [34]
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Heat Rays Of Great Wave Length
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Uncertainty and ambiguity in terahertz parameter extraction and data analysis
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Towards broadband THz spectroscopy and analysis of sub-wavelength-size biological samples
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Signal Estimation and Uncertainties Extraction in Terahertz Time-Domain Spectroscopy
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A New Metric for the Comparison of Permittivity Models in Terahertz Time-Domain Spectroscopy
Lavancier, M., Vindas-Yassine, N., Vlieghe, J., Hannotte, T., Lampin, J.-F., Orieux, F., & Peretti, R. (2024) · IEEE Transactions on Terahertz Science and Technology · doi:10.1109/tthz.2024.3431202 · Cited by 5 · see citing works
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From Noise analysis to Error Bars on Refractive Index in THz-TDS
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- Authors
- Lavancier, M.
- Affiliations
- Université de Lille (FR)
- Corresponding author
- Lavancier, Mélanie
- ORCID
- Lavancier, Mélanie
- Published
- 2021-10-15
- OpenAlex
- W7150894592
- Cited by
- 3
- References
- 143
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 1
- Type
- dissertation
- Language
- fr
- Open access
- closed
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Terahertz technology and applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Spectroscopy Techniques in Biomedical and Chemical Research
- Physical Sciences › Chemistry › Spectroscopy › Spectroscopy and Laser Applications
- Keywords
- terahertz time-domain spectroscopy, biological specimen, data fitting, liquid water, small sample analysis, non-ionizing radiation, sugar, solvents, in vivo, non-destructive testing
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