Results 201 to 210 of about 1,888,108 (299)

Responses of peatland waders to large‐scale, non‐native forestry removal: measuring changes in edge effects after 20 years

Restoration Ecology, EarlyView.
Abstract Introduction Restoration of afforested peatlands aims to recover biodiversity, but evidence for long‐term bird responses remains limited. In Scotland's Flow Country, conifer plantations established during the 1970s and 1980s displaced breeding waders and created edge effects on adjacent bog.
Robert Hughes, Harry Britton, Claire Foot‐Turner, Stephanie Griffiths, Philippa R. Gullett, Mark H. Hancock, Heather Johnstone, Nick Littlewood, Tamara Lumb, Alice Martin‐Walker, Nicola Morley, Ainoa Pravia, Jeremy D. Wilson, Roxane Andersen   +13 more
wiley   +1 more source

Novel Fabry-Pérot Filter Structures for High-Performance Multispectral Imaging with a Broadband from the Visible to the Near-Infrared. [PDF]

Sensors (Basel)
Gao B, Wang T, Chen L, Wang S, Li C, Xiao F, Liu Y, Yu W.   +7 more
europepmc   +1 more source

Energetic microdomains and the vascular control of neuronal and muscle excitability: Toward a unified model

The Journal of Physiology, EarlyView.
Abstract figure legend The capillary–mitochondria–ion channel (CMIC) axis scales structural resources to match functional workload. (Left) In settings of restricted energetic capacity (e.g. cortical neurons), sparse capillary networks and modest mitochondrial pools set a lower energetic ceiling, sufficient to support phasic, low‐workload excitability. (
L. Fernando Santana, Scott Earley
wiley   +1 more source

Physics-Driven Computational Multispectral Imaging for Accurate Color Measurement. [PDF]

Sensors (Basel)
Yi H, Zhou M, Xie H, Chen B, Wang Y, Liu F, Shen J, Shen J.   +7 more
europepmc   +1 more source

Scaling temporal resolution from mice to humans: Challenges and innovations in preclinical imaging of translational models

The Journal of Physiology, EarlyView.
Abstract figure legend Temporal scaling physiology differs significantly between mice and humans. Mice have higher metabolism, heart and respiratory rate, as well as faster blood flow rates, brain activity and physiological dynamics over time. These differences influence the temporal resolution needed in preclinical imaging of mouse models to ...
Sara Gargiulo, Matteo Gramanzini
wiley   +1 more source

Portable Multispectral Imaging System for Sodium Nitrite Detection via Griess Reaction on Cellulose Fiber Sample Pads. [PDF]

Sensors (Basel)
Kataphiniharn C, Unsuree N, Janchaysang S, Lumjeak S, Tulyananda T, Wangkham T, Srichola P, Nithiwutratthasakul T, Chattham N, Phanphak S.   +9 more
europepmc   +1 more source

Multiscale four‐dimensional imaging of cardiac remodelling after myocardial infarction

The Journal of Physiology, EarlyView.
Abstract figure legend Multiscale 4D imaging framework for integrated phenotyping of post‐infarction remodelling. Myocardial infarction triggers dynamic changes across mechanical, haemodynamic and biological axes, progressing from acute injury and inflammation to extracellular matrix remodelling and scar maturation.
Hanzhou Lei, Boris Martinac, Yang Guo
wiley   +1 more source

Development of a multispectral imaging apparatus for cost-effective fundus disease detection. [PDF]

Biomed Opt Express
Shi Y, Zhang L, Shu X, Zhang K, Yan Y, Yuan W, Yu Y, Gong Y.   +7 more
europepmc   +1 more source

Assessment of corn chlorophyll content via UAV‐derived vegetative indices across growth stages

Agrosystems, Geosciences &Environment, Volume 9, Issue 4, December 2026.
Abstract Traditional chlorophyll (Chl) assessment methods are labor‐intensive and spatially limited. This study evaluated unmanned aerial vehicle (UAV) multispectral imagery for nondestructive field‐scale canopy Chl estimation in corn (Zea mays L.) to support precision nutrient management.
Aarati Khulal, Huijie Gan, Jitender Rathore, Sheetal Kumari, Ivy Flory, Caleb Bishop, Santosh Rijal, Olga Walsh   +7 more
wiley   +1 more source

Sorghum yield prediction using UAV multispectral imaging and stacking ensemble learning in arid regions. [PDF]

Front Plant Sci
Deng L, Li Y, Liu X, Zhang Z, Mu J, Jia S, Yan Y, Zhang W.   +7 more
europepmc   +1 more source