Mathematical Method for Enhancing Biochemical information in Micro-FTIR Images of Histopathological Slides
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2025
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OPTICAL BIOPSY, 23th
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Resumo
Early and accurate cancer diagnosis improves prognosis and reduces treatment invasiveness and costs. Histopathological
biopsy analysis is crucial but depends on pathologist expertise. Biochemical information from samples can enable earlier
diagnosis due to tissue changes before visible alterations. Optical techniques, particularly micro-infrared spectroscopy
(micro-FTIR), are promising for this. However, artifacts from contaminants and baseline distortions can affect data quality.
This work develops a method using principal component regression (PCR) to remove these artifacts. Applying this method
to 192 micro-FTIR images of thyroid and mouth tissues achieved over 90% correlation with traditional hematoxylin-eosin
images, indicating effective artifact removal and accurate results.
Como referenciar
PEREIRA, T.M.; ALMEIDA, E.S.; PERES, D.L.; SILVA, D.F.T.; GERMANO, G.; ZEZELL, D.M.; BACHMANN, L. Mathematical Method for Enhancing Biochemical information in Micro-FTIR Images of Histopathological Slides. In: OPTICAL BIOPSY, 23th, January 27–29, 2025, San Francisco, CA, USA. Proceedings... Bellingham, WA, USA: SPIE, 2025. (Proceedings of SPIE, 13311). DOI: 10.1117/12.3042453. Disponível em: https://repositorio.ipen.br/handle/123456789/49566. Acesso em: 27 Mar 2026.
Esta referência é gerada automaticamente de acordo com as normas do estilo IPEN/SP (ABNT NBR 6023) e recomenda-se uma verificação final e ajustes caso necessário.