Accurate estimation of the inhibition zone of antibiotics based on laser speckle imaging and multiple random speckle illumination

Kim, Donghyeok; Lee, Jongseo; Yoon, Jonghee

doi:10.1016/j.compbiomed.2024.108417

Computers in Biology and Medicine

2024

DOI: 10.1016/j.compbiomed.2024.108417

|View full text |Cite

Accurate estimation of the inhibition zone of antibiotics based on laser speckle imaging and multiple random speckle illumination

Donghyeok Kim,

Jongseo Lee,

Jonghee Yoon

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

A novel application of laser speckle imaging technique for prediction of hypoxic stress of apples

Pieczywek,

Nosalewicz,

Zdunek

2024

Plant Methods

View full text Add to dashboard Cite

Background Fruit storage methods such as dynamic controlled atmosphere (DCA) technology enable adjusting the level of oxygen in the storage room, according to the physiological state of the product to slow down the ripening process. However, the successful application of DCA requires precise and reliable sensors of the oxidative stress of the fruit. In this study, respiration rate and chlorophyll fluorescence (CF) signals were evaluated after introducing a novel predictors of apples' hypoxic stress based on laser speckle imaging technique (LSI). Results Both chlorophyll fluorescence and LSI signals were equally good for stress detection in principle. However, in an application with automatic detection based on machine learning models, the LSI signal proved to be superior, due to its stability and measurement repeatability. Moreover, the shortcomings of the CF signal appear to be its inability to indicate oxygen stress in tissues with low chlorophyll content but this does not apply to LSI. A comparison of different LSI signal processing methods showed that method based on the dynamics of changes in image content was better indicators of stress than methods based on measurements of changes in pixel brightness (inertia moment or laser speckle contrast analysis). Data obtained using the near-infrared laser provided better prediction capabilities, compared to the laser with red light. Conclusions The study showed that the signal from the scattered laser light phenomenon is a good predictor for the oxidative stress of apples. Results showed that effective prediction using LSI was possible and did not require additional signals. The proposed method has great potential as an alternative indicator of fruit oxidative stress, which can be applied in modern storage systems with a dynamically controlled atmosphere.

show abstract

A novel application of laser speckle imaging technique for prediction of hypoxic stress of apples

Pieczywek,

Nosalewicz,

Zdunek

2024

Plant Methods

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Accurate estimation of the inhibition zone of antibiotics based on laser speckle imaging and multiple random speckle illumination

Cited by 1 publication

References 19 publications

A novel application of laser speckle imaging technique for prediction of hypoxic stress of apples

A novel application of laser speckle imaging technique for prediction of hypoxic stress of apples

Contact Info

Product

Resources

About