Results 281 to 290 of about 6,275,177 (375)
Multispectral imaging for characterizing autofluorescent tissues. [PDF]
Bentahar S +4 more
europepmc +1 more source
Wheat Yield Estimation Based on Unmanned Aerial Vehicle Multispectral Images and Texture Feature Indices [PDF]
Yiliang Kang +8 more
openalex +1 more source
A quad‐cistronic fluorescent biosensor system for real‐time detection of subcellular Ca2+ signals
Background and Purpose The calcium ion (Ca2+) is a versatile cellular messenger regulating a variety of biological processes. Compounds modulating subcellular Ca2+ signals hold substantial pharmacological potential. Advances in fluorescent biosensors have revolutionised Ca2+ imaging.
Anna Lischnig +7 more
wiley +1 more source
In Acanthagrion lancea damselflies, both sexes display blue ornamentation, but do they choose mates based on it? We tested whether mutual mate choice and time constraints influence ornament evolution. Blue coloration correlated with individual quality, but individuals did not choose mates based on color, and this was unaffected by time constraints over
Maria C. A. Melillo +3 more
wiley +1 more source
A novel approach integrating multispectral imaging and machine learning to identify seed maturity and vigor in smooth bromegrass. [PDF]
Ou C +8 more
europepmc +1 more source
Low-cost compact multispectral spatial frequency domain imaging prototype for tissue characterization [PDF]
Erfanzadeh, Mohsen +3 more
core +1 more source
Breeding 5.0: Artificial intelligence (AI)‐decoded germplasm for accelerated crop innovation
ABSTRACT Crop breeding technologies are vital for global food security. While traditional methods have improved yield, stress tolerance, and nutrition, rising challenges such as climate instability, land loss, and pest pressure now demand new solutions.
Jiayi Fu +4 more
wiley +1 more source
Data Fusion of Electronic Nose and Multispectral Imaging for Meat Spoilage Detection Using Machine Learning Techniques. [PDF]
Kodogiannis VS, Alshejari A.
europepmc +1 more source
Abstract Brain surgery is a widely practised and effective treatment for brain tumours, but accurately identifying and classifying tumour boundaries is crucial to maximise resection and avoid neurological complications. This precision in classification is essential for guiding surgical decisions and subsequent treatment planning.
Neetu Sigger +2 more
wiley +1 more source

