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A unified deep-learning network to accurately segment insulin granules of different animal models imaged under different electron microscopy methodologies

机译：统一的深度学习网络，以准确地在不同电子显微镜法上成像的不同动物模型的胰岛素颗粒

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Xiaoya Zhang; Xiaohong Peng; Chengsheng Han; Wenzhen Zhu; Lisi Wei; Yulin Zhang; Yi Wang; Xiuqin Zhang; Hao Tang; Jianshe Zhang; Xiaojun Xu; Fengping Feng; Yanhong Xue; Erlin Yao; Guangming Tan; Tao Xu; Liangyi Chen;
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1. Novel standards in the measurement of rat insulin granules combining electron microscopy, high-content image analysis and in silico modelling [J] . E. Fava, J. Dehghany, J. Ouwendijk, Diabetologia . 2012,第4期

机译：结合电子显微镜，高内涵图像分析和计算机模拟的大鼠胰岛素颗粒测量新标准
2. Novel standards in the measurement of rat insulin granules combining electron microscopy, high-content image analysis and in silico modelling [J] . E. Fava, J. Dehghany, J. Ouwendijk, Diabetologia: clinical and experimental diabetes and metabolism . 2012,第4期

机译：结合电子显微镜，高内涵图像分析和计算机模拟的大鼠胰岛素颗粒测量新标准
3. Identification of Time Series Models From Segments—Application to Scanning Transmission Electron Microscopy Images [J] . Erkelens J.S., Tejada A., den Dekker A.J. IEEE Transactions on Instrumentation and Measurement . 2013,第12期

机译：从分段中识别时间序列模型-在扫描透射电子显微镜图像中的应用
4. A novel 2D and 3D method for automated insulin granule measurement and its application in assessing accepted preparation methods for electron microscopy [C] . J Mantell, D Nam, D Bull, Electron Microscopy and Analysis Group Conference . 2014

机译：一种用于自动胰岛素颗粒测量的新型2D和3D方法及其在评估电子显微镜的预接受制备方法中的应用
5. Inferring Optimally Precise and Maximally Accurate Models from Electron Microscopy Data. [D] . Greenberg, Charles Harold. 2016

机译：从电子显微镜数据推断最佳精确度和最大精确度的模型。
6. A unified deep-learning network to accurately segment insulin granules of different animal models imaged under different electron microscopy methodologies [O] . Xiaoya Zhang, Xiaohong Peng, Chengsheng Han, 2019

机译：统一的深度学习网络可准确分割在不同电子显微镜方法下成像的不同动物模型的胰岛素颗粒
7. Novel standards in the measurement of rat insulin granules combining electron microscopy, high-content image analysis and in silico modelling [O] . E. Fava, J. Dehghany, J. Ouwendijk, 2012

机译：结合电子显微镜，高内涵图像分析和计算机模拟的大鼠胰岛素颗粒测量新标准

A unified deep-learning network to accurately segment insulin granules of different animal models imaged under different electron microscopy methodologies

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