Learning to see VOCs with Liquid Crystal Droplets

Susana I. C. J. Palma; José Frazão; Rita Alves; Henrique M. A. Costa; Cláudia Alves; Hugo Gamboa; Margarida Silveira; Ana C. A. Roque

doi:10.1109/ISOEN54820.2022.9789647

Learning to see VOCs with Liquid Crystal Droplets

Susana I. C. J. Palma, José Frazão, Rita Alves, Henrique M. A. Costa, Cláudia Alves, Hugo Gamboa, Margarida Silveira, Ana C. A. Roque

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In hybrid gels with immobilized liquid crystal (LC) droplets, fast and unique optical texture variations are generated when distinct volatile organic compounds (VOCs) interact with the LC and disturb its molecular order. The optical texture variations can be observed under a polarized optical microscope or transduced into a signal representing the variations of light transmitted through the LC. We show how hybrid gels can accurately identify 11 distinct VOCs by using deep learning to analyze optical texture variations of individual droplets (0.93 average F1-score) and by using machine learning to analyze 1D optical signals from multiple droplets in hybrid gels (0.88 average F1-score).

Original language	English
Title of host publication	2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Proceedings
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1-4
ISBN (Electronic)	978-1-6654-5860-3
ISBN (Print)	978-1-6654-5861-0
DOIs	https://doi.org/10.1109/ISOEN54820.2022.9789647
Publication status	Published - 29 May 2022
Event	2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) - Aveiro, Portugal Duration: 29 May 2022 → 1 Jun 2022

Conference

Conference	2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)
Period	29/05/22 → 1/06/22

Keywords

Liquid crystal
Hybrid Gels
Image recognition
Optical sensing

Access to Document

10.1109/ISOEN54820.2022.9789647

https://ieeexplore.ieee.org/document/9789647/

Cite this

Palma, S. I. C. J., Frazão, J., Alves, R., Costa, H. M. A., Alves, C., Gamboa, H., Silveira, M., & Roque, A. C. A. (2022). Learning to see VOCs with Liquid Crystal Droplets. In 2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Proceedings (pp. 1-4). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ISOEN54820.2022.9789647

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title = "Learning to see VOCs with Liquid Crystal Droplets",

abstract = "In hybrid gels with immobilized liquid crystal (LC) droplets, fast and unique optical texture variations are generated when distinct volatile organic compounds (VOCs) interact with the LC and disturb its molecular order. The optical texture variations can be observed under a polarized optical microscope or transduced into a signal representing the variations of light transmitted through the LC. We show how hybrid gels can accurately identify 11 distinct VOCs by using deep learning to analyze optical texture variations of individual droplets (0.93 average F1-score) and by using machine learning to analyze 1D optical signals from multiple droplets in hybrid gels (0.88 average F1-score).",

keywords = "Liquid crystal, Hybrid Gels, Image recognition, Optical sensing",

author = "Palma, {Susana I. C. J.} and Jos{\'e} Fraz{\~a}o and Rita Alves and Costa, {Henrique M. A.} and Cl{\'a}udia Alves and Hugo Gamboa and Margarida Silveira and Roque, {Ana C. A.}",

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doi = "10.1109/ISOEN54820.2022.9789647",

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Palma, SICJ, Frazão, J, Alves, R , Costa, HMA , Alves, C , Gamboa, H, Silveira, M & Roque, ACA 2022, Learning to see VOCs with Liquid Crystal Droplets. in 2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Proceedings. Institute of Electrical and Electronics Engineers (IEEE), pp. 1-4, 2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN), 29/05/22. https://doi.org/10.1109/ISOEN54820.2022.9789647

Learning to see VOCs with Liquid Crystal Droplets. / Palma, Susana I. C. J.; Frazão, José; Alves, Rita et al.
2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Proceedings. Institute of Electrical and Electronics Engineers (IEEE), 2022. p. 1-4.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Palma, Susana I. C. J.

AU - Frazão, José

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AU - Costa, Henrique M. A.

AU - Alves, Cláudia

AU - Gamboa, Hugo

AU - Silveira, Margarida

AU - Roque, Ana C. A.

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N2 - In hybrid gels with immobilized liquid crystal (LC) droplets, fast and unique optical texture variations are generated when distinct volatile organic compounds (VOCs) interact with the LC and disturb its molecular order. The optical texture variations can be observed under a polarized optical microscope or transduced into a signal representing the variations of light transmitted through the LC. We show how hybrid gels can accurately identify 11 distinct VOCs by using deep learning to analyze optical texture variations of individual droplets (0.93 average F1-score) and by using machine learning to analyze 1D optical signals from multiple droplets in hybrid gels (0.88 average F1-score).

AB - In hybrid gels with immobilized liquid crystal (LC) droplets, fast and unique optical texture variations are generated when distinct volatile organic compounds (VOCs) interact with the LC and disturb its molecular order. The optical texture variations can be observed under a polarized optical microscope or transduced into a signal representing the variations of light transmitted through the LC. We show how hybrid gels can accurately identify 11 distinct VOCs by using deep learning to analyze optical texture variations of individual droplets (0.93 average F1-score) and by using machine learning to analyze 1D optical signals from multiple droplets in hybrid gels (0.88 average F1-score).

KW - Liquid crystal

KW - Hybrid Gels

KW - Image recognition

KW - Optical sensing

U2 - 10.1109/ISOEN54820.2022.9789647

DO - 10.1109/ISOEN54820.2022.9789647

M3 - Conference contribution

SN - 978-1-6654-5861-0

SP - 1

EP - 4

BT - 2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Proceedings

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)

Y2 - 29 May 2022 through 1 June 2022

ER -

Learning to see VOCs with Liquid Crystal Droplets

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Keywords

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