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Microscopy Research and Technique|February 1, 2024
Exploring microscopic pollen morphology in herbaceous Flora: Insights and analysis using scanning electron microscopyNozimova Aziza, Khislat Khaydarov, Djumayeva Zamira, et al.
Microscopy Research and Technique|August 28, 2024
Investigation of structural, optical, photocatalytic, and antibacterial properties of ZnO doped GO nanoparticles for environment applicationsK Kaviyarasu
Microscopy Research and Technique|September 5, 2024
Biological potential of Argyrolobium roseum (Camb.) Jaub & Spach mediated silver nanoparticles and their effect on the growth of wheat seedsArooj Muneer, Wasim Akhtar, Memoona Samad, et al.
Microscopy Research and Technique|October 1, 2024
AutoLNMNet: Automated Network for Estimating Lymph-Node Metastasis in EGC Using a Pyramid Vision Transformer and Data Derived From Multiphoton MicroscopyLin Gao, Wenju Liu, Bingzi Kang, et al.
Microscopy Research and Technique|September 24, 2024
Microplastics induced ileum damage: Morphological and immunohistochemical studyShaimaa M M Saleh, Souzan Abdel-Zaher, Mahmoud S Mohamed, et al.
Microscopy Research and Technique|October 14, 2024
Involvement of Programmed Cell Death and Autophagy on Schizogenous Secretory Canal Formation in Angelica dahurica var. formosana RootJiahui Yang, Boyuan Li, Yue Qin, et al.
Microscopy Research and Technique|October 2, 2024
Visible Light-Triggered Catalytic Performance of Reduced Graphene Oxide Decorated With Copper Oxide Nanocomposite for Degradation of Rhodamine B Dye and Kinetics StudiesAlia Rani, Muhammad Kaleem Shabbir, Ayesha Fatima, et al.
Microscopy Research and Technique|October 9, 2024
Macroscopic and microscopic investigations of determining elasto-mechanical properties of limequat fruitSanaz Vatani, Mohammad Hossein Abbaspour-Fard, Rasool Khodabakhshian
Microscopy Research and Technique|August 17, 2024
DIY adapting SEM for low-voltage TEM imagingZecca Piero Antonio, Protasoni Marina, Reguzzoni Marcella, et al.
Microscopy Research and Technique|August 15, 2024
An accurate paradigm for denoising degraded ultrasound images based on artificial intelligence systemsF E Al-Tahhan, M E Fares
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