Results 71 to 80 of about 17,346 (205)

Advancing collagen‐related pathology assessment through second‐harmonic generation imaging

Journal of Microscopy, EarlyView.
Abstract Collagen remodelling and dysregulation are the hallmarks of diverse pathological conditions. In this context, second‐harmonic generation (SHG) imaging has emerged as a powerful label‐free modality for assessing collagen. This offers submicron resolution, intrinsic optical sectioning, and deeper imaging capabilities without the need for ...
Jackson Rodrigues, Manikanth Karnati, Gagan Raju, Edwin Pious, Ankur Gogoi, Guan‐Yu Zhuo, Nirmal Mazumder, Fu‐Jen Kao   +7 more
wiley   +1 more source

Research on mulberry leaf disease recognition method based on deep learning

Dianzi Jishu Yingyong
To improve the accuracy of mulberry leaf disease detection and enable convenient and rapid deployment of models on mobile devices, an improved version of the YOLOv8 model, named YOLOv8-Evo, is proposed to address issues such as small lesion spots and ...
Ye Hui, Xiang Donghui, Zeng Songwei
doaj   +1 more source

Bioimage management and analysis in Galaxy: Tools, workflows, training, and community practices

Journal of Microscopy, EarlyView.
ABSTRACT Image analysis in the life sciences is constrained by fragmented software ecosystems, heterogeneous data formats, and limited reproducibility. These barriers hinder the reuse of image analysis methods and the sustainability of tools. In this article, we describe how the Galaxy platform enables FAIR (Findable, Accessible, Interoperable, and ...
Leonid Kostrykin, Riccardo Massei, Diana Chiang, Thomas Wollmann, Jean‐Marie Burel, David Lopez Tabernero, Yi Sun, Qi Gao, Maarten W. Paul, Pavankumar Videm, Cameron Watson, Daniel Franco‐Barranco, Anup Kumar, Nadia Goué, Reyhaneh Tavakoli Koopaei, Vladimír Ulman, Khaled Jum'ah, Krzysztof Poterlowicz, Martin Etzrodt, Arrate Muñoz‐Barrutia, Sylvia E. Le Dévédec, Josh Moore, Jeremy Goecks, Bjoern Gruening, Karl Rohr, Beatriz Serrano‐Solano   +25 more
wiley   +1 more source

A C‐repeat binding factor–salicylic acid (CBF–SA) module links wound‐induced evaporative cooling to tissue repair in plants

New Phytologist, EarlyView.
A model of the C‐repeat binding factor–salicylic acid (CBF–SA) module in plant wound healing. Summary Repairing damaged tissues is essential for the survival of all organisms. In plants, tissue injury rapidly triggers defense and repair programs. However, the molecular mechanisms linking early injury cues to the later stage of wound repair remain ...
Joseph Michael Balem, Chenjiao Tan, Nathália Cássia Ferreira Dias, Mariah Arnold, Sorrel Tran, Paul M. Severns, Paulo José Pereira Lima Teixeira, Changying Li, Li Yang   +8 more
wiley   +1 more source

SFG-YOLOv8: efficient and lightweight small-feature gesture keypoint detector

Human‒computer interaction (HCI) plays a crucial role in augmented reality (AR). This paper introduces SFG-YOLOv8, an efficient and lightweight gesture keypoint detector designed for low-computational-power AR scenarios.
Weimin Che, Shilong Yuan, Qun Li, Hongji Zhang, Hongcheng Yang, Bangxue Wu, Hui Zhang   +6 more
core   +1 more source

Lightweight coal particle group instance segmentation method based on YOLOv8

Meitan xuebao
In the foundational research field of mine gas control, a large quantity of coal particles is widely employed in various experiments. Due to the significant impact of particle size distribution on experimental results, the precise and rapid determination
Jingjing LIU, Fengqian SUN, Haoxiang ZHANG, He JIANG, Junhui CHEN, Qiqi KOU, Deqiang CHENG   +6 more
doaj   +1 more source

Research of the impact of the number of epochs and dataset size on the performance of the YOLO algorithm [PDF]

Scientific Technical Review
This study investigates the influence of dataset size and the number of training epochs on the performance of YOLOv8 object detection models. Three model variants: YOLOv8s, YOLOv8m, and YOLOv8xl, were trained using five datasets of increasing size (200 ...
Zurovac Snežana, Jevremović Jelena, Miletić Ninko, Joksimović Vasilija   +3 more
doaj   +1 more source

Field‑Based Dissection of Stomatal Anatomy and Conductance Reveals Stable QTL Under Drought and Heat in Wheat

Plant, Cell &Environment, EarlyView.
ABSTRACT Stomatal traits balance carbon gain with water loss, yet their breeding potential in wheat remains underexploited. This study investigated physiological and anatomical stomatal responses across 2 years of large‐scale field trials under water‐limitation and warming treatments. Across both seasons, stomatal conductance (gs) declined under stress,
Chaplin Edward, Tanaka Emi, Merchant Andrew, Sznajder Beata, Trethowan Richard, Salter William   +5 more
wiley   +1 more source

YOLOv8-FDA: lightweight wheat ear detection and counting in drone images based on improved YOLOv8 [PDF]

IntroductionWheat is a vital global staple crop, where accurate ear detection and counting are essential for yield prediction and field management. However, the complexity of field environments poses significant challenges to achieving lightweight yet ...
Xiao Xiao, Haifeng Lin, Yuxuan Lin
core   +1 more source

Guiding the AI revolution in periodontology and implant dentistry: Concepts, ethics, accountability, and a roadmap for sustainable adoption

Periodontology 2000, EarlyView.
Abstract Background Artificial intelligence (AI) is increasingly gaining attention in the field of periodontology and implant dentistry. Currently developed models can support diagnosis, treatment planning, and maintenance monitoring. However, most of the available literature is based on retrospective and often single‐modality data sets.
Aminollah Khormali, Negin Soghli, Patricia A. Miguez   +2 more
wiley   +1 more source