Deep Learning Integration in Optical Microscopy: Advancements and Applications
It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari +5 more
wiley +1 more source
Connecting the dots: Network structure as a functional trait in arbuscular mycorrhizal fungi
Soil health and sustainable land management are critical to addressing global challenges such as food security, climate resilience, and biodiversity loss. Arbuscular mycorrhizal (AM) fungi form underground networks that enhance plant nutrient uptake and improve soil structure, yet their functional diversity remains poorly understood, limiting their ...
Carlos A. Aguilar‐Trigueros, Adam Frew
wiley +1 more source
Advances in Avian Diagnostic Pathology: Current Trends, Challenges and Future Directions: A Review
Advances in avian diagnostic pathology integrate histopathology, immunohistochemistry, molecular diagnostics and digital pathology to enhance the detection and management of poultry diseases. Emerging tools, including machine learning and artificial intelligence, further improve diagnostic accuracy, disease surveillance and outbreak prediction.
Gebyaw Menge Getnet +2 more
wiley +1 more source
ABSTRACT Monitoring recreational fisheries is difficult: anglers are widely dispersed, gear and practices vary, and many species are involved, which leads to fragmented and scarce data. To address these issues, we developed an Artificial Intelligence (AI) pipeline that turns angler‐reported photos into standardised records of catch composition and ...
Marco Signaroli +9 more
wiley +1 more source
Advances and opportunities for computational interrogation of plant proteins
SUMMARY Plants exhibit remarkable biochemical and physiological diversity, and are capable of adapting to a wide range of environmental conditions and stresses. This complexity makes them essential systems for understanding how life responds to a changing climate.
Sarah M. Bohling +2 more
wiley +1 more source
Multi-Response Optimisation of Thermal Barrier Coating Performance Based on Grey-Based Fuzzy Approach. [PDF]
Zou Z, Jean M.
europepmc +1 more source
Comfort-Oriented Pothole Traversal Using Multi-Sensor Perception and Fuzzy Control. [PDF]
Yuan C +7 more
europepmc +1 more source
Abrasivity behavior analysis and fuzzy stochastic prediction of weakly cemented sandstones using an improved RBF neural network for quantifying uncertainties. [PDF]
Yao Y, Lin J, Li X, Li Y.
europepmc +1 more source
Application of an IEW-CRITIC-CoCoSo method based on interval-valued T-spherical fuzzy for optimizing process parameters of 3D printed recycled polypropylene composites. [PDF]
Zhao S +5 more
europepmc +1 more source
Meristems clarify fuzzy floral boundaries: a commentary on 'Are capitula inflorescences? A reassessment based on flower-like meristem identity and ray flower development'. [PDF]
Rudall PJ, Bateman RM.
europepmc +1 more source

