Deshmukh Aneesh相关文献与解析，生知库 | 链接生命科学的每一步

日期影响因子

Deep-learning methods for contrast enhancement and artifact reduction in cryo-electron tomography: a systematic analysis of the state of the art and proposed improvements

深度学习方法在冷冻电镜断层扫描对比度增强和伪影减少中的应用：现状分析及改进方案

期刊:Acta Crystallographica Section D-Structural Biology

影响因子:3.8

doi:10.1107/S2059798326001166

Jones, Henry N; Deshmukh, Aneesh; Pande, Kanupriya

发表日期：2026

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Integrated biophysical and spatial remodeling during insulin secretory granule maturation at the mitochondrial network

线粒体网络在胰岛素分泌颗粒成熟过程中的生物物理和空间整合重塑

doi:10.64898/2026.03.02.709121

Knight, Rachel; Deshmukh, Aneesh; Lin, Wen; Verma, Riva; White, Kate

免疫/内分泌

发表日期：2026

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Secretory stimuli distinctly regulate insulin secretory granule maturation through structural remodeling.

分泌刺激通过结构重塑显著调节胰岛素分泌颗粒的成熟

期刊:Structure

影响因子:4.3

doi:10.1016/j.str.2025.07.022

Deshmukh Aneesh, Chang Kevin, Cuala Janielle, Hernandez Campos Maria J, Mahmood Shayan, Verma Riva, Georgia Senta, Loconte Valentina, White Kate L

发表日期：2025

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Secretory stimuli distinctly regulate insulin secretory granule maturation through structural remodeling

分泌刺激通过结构重塑显著调节胰岛素分泌颗粒的成熟。

doi:10.1101/2025.03.29.644646

Deshmukh, Aneesh; Chang, Kevin; Cuala, Janielle; Campos, Maria J Hernandez; Mahmood, Shayan; Verma, Riva; Georgia, Senta; Loconte, Valentina; White, Kate L

免疫/内分泌

发表日期：2025

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Classifying Biophysical Subpopulations of Insulin Secretory Granules using Quantitative Whole Cell Structure Analysis

利用定量全细胞结构分析对胰岛素分泌颗粒的生物物理亚群进行分类

doi:10.1101/2025.09.09.675239

Chang, Kevin; Deshmukh, Aneesh; Verma, Riva; Loconte, Valentina; White, Kate L

细胞生物学

免疫/内分泌

发表日期：2025

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