Snapshot computed tomographic microscopic imaging spectrometer and its video-level tracking of poisonous Microcystis aeruginosa cells in mixed algae

Li, Shuo; Si, Yifan; Yang, Anqi; Li, Jialun; Gong, Dawei; He, Sailing

doi:10.1016/j.saa.2024.125178

Spectrochimica Acta Part A: Molecular and Biomolecular Spectros

2025

DOI: 10.1016/j.saa.2024.125178

|View full text |Cite

Snapshot computed tomographic microscopic imaging spectrometer and its video-level tracking of poisonous Microcystis aeruginosa cells in mixed algae

Shuo Li,

Yifan Si,

Anqi Yang

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

GIFF-AlgaeDet: An effective and lightweight deep learning method based on Global Information and Feature Fusion for microalgae detection

Wang,

Liu,

Liu

et al. 2024

Algal Research

View full text Add to dashboard Cite

GIFF-AlgaeDet: An effective and lightweight deep learning method based on Global Information and Feature Fusion for microalgae detection

Wang,

Liu,

Liu

et al. 2024

Algal Research

View full text Add to dashboard Cite

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.

Snapshot computed tomographic microscopic imaging spectrometer and its video-level tracking of poisonous Microcystis aeruginosa cells in mixed algae

Cited by 1 publication

References 35 publications

GIFF-AlgaeDet: An effective and lightweight deep learning method based on Global Information and Feature Fusion for microalgae detection

GIFF-AlgaeDet: An effective and lightweight deep learning method based on Global Information and Feature Fusion for microalgae detection

Contact Info

Product

Resources

About