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A technique to achieve estimation of the amount of absorbed energy when using diverse cell types at THz frequencies

dc.contributor.authorVilagosh, Zen_AU
dc.contributor.authorAppadoo, DRTen_AU
dc.contributor.authorPerera, PGTen_AU
dc.contributor.authorNguyen, THPen_AU
dc.contributor.authorLinklater, Den_AU
dc.contributor.authorJuodkazis, Sen_AU
dc.contributor.authorCroft, Ren_AU
dc.contributor.authorIvanova, EPen_AU
dc.date.accessioned2026-06-05T03:22:48Zen_AU
dc.date.issued2022-12-12en_AU
dc.date.statistics2026-03en_AU
dc.description.abstractThe effects of a high frequency electromagnetic field (HF EMF) in the terahertz (THz) range on biological systems is the subject of ongoing investigation. With a beamline range of 0.5 THz - 20 THz, the THz/Far-IR beamline at the Australian Synchrotron is ideally suited to explore possible THz effects. We have developed a technique to achieve precise estimation of the amount of absorbed energy when using diverse cell types at THz frequencies. The approach involves evaluating the overall incident beam power, the determination of the frequency and photon dispersion, and evaluating the relative contribution of the frequency ranges. The sample depth is an important component of the evaluation. Since higher THz frequencies have shallower sample penetration depths, parts of the sample are being exposed to not only different total THz energy doses, but to a different frequency profile. Our technique achieves accurate estimation of the exposure profile. © Copyright 2026 IEEEen_AU
dc.identifier.booktitle2022 7th International Conference on Intelligent Informatics and Biomedical Science (ICIIBMS)en_AU
dc.identifier.citationVilagosh, Z., Appadoo, D., Perera, P. G. H., Nguyen, T. H. P., Linklater, D. & Juodkazis, S. (2022). A technique to achieve estimation of the amount of absorbed energy when using diverse cell types at THz frequencies. Paper presented to the 2022 7th International Conference on Intelligent Informatics and Biomedical Science (ICIIBMS), Nara, Japan, 24-26 November 2022. In Proceedings of the Intelligent informatics and biomedical science. International conference. 7th 2022. (ICIIBMS 2022), (pp. 367-369). doi: 10.1109/ICIIBMS55689.2022.9971555.en_AU
dc.identifier.conferenceenddate2022-11-26en_AU
dc.identifier.conferencename2022 7th International Conference on Intelligent Informatics and Biomedical Science (ICIIBMS)en_AU
dc.identifier.conferenceplaceNara, Japanen_AU
dc.identifier.conferencestartdate2022-11-24en_AU
dc.identifier.isbn9781665482295en_AU
dc.identifier.issn2189-8723en_AU
dc.identifier.pagination367-369en_AU
dc.identifier.urihttps://doi.org/10.1109/iciibms55689.2022.9971555en_AU
dc.identifier.urihttps://apo.ansto.gov.au/handle/10238/17253en_AU
dc.language.isoenen_AU
dc.publisherInstitute of Electrical and Electronics Engineersen_AU
dc.relation.urihttps://doi.org/10.1109/iciibms55689.2022.9971555en_AU
dc.subjectPower densityen_AU
dc.subjectSamplingen_AU
dc.subjectAustralian organizationsen_AU
dc.subjectincidenceen_AU
dc.subjectDensityen_AU
dc.subjectTHz rangeen_AU
dc.subjectDispersionsen_AU
dc.subjectPenetration depthen_AU
dc.subjectElectromagnetic fieldsen_AU
dc.titleA technique to achieve estimation of the amount of absorbed energy when using diverse cell types at THz frequenciesen_AU
dc.typeConference Paperen_AU

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