BGUSIM
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These simulated live cell microscopy sequences were generated by the CytoPacq web service https://cbia.fi.muni.cz/simulator [R1]. The dataset is composed of 51 2D sequences and 41 3D sequences. The 2D sequences are divided into distinct 44 training and 7 test sets. The 3D sequences are divided into distinct 34 training and 7 test sets. Each sequence contains up to 200 frames. The CytoPacq system was tuned to produce data similar to the Fluo-N2DH-SIM+ and Fluo-N3DH-SIM+ datasets from the Cell Segmentation Benchmark http://www.celltrackingchallenge.net [R2]. We refer to these datasets, using the challenge naming convention as Fluo-N2DH-BGUSIM and Fluo-N3DH-BGUSIM for the 2D and 3D datasets, respectively. R1 : D. Wiesner, D. Svoboda, M. Maska, and M. Kozubek, "Cytopacq: a web-interface for simulating multi-dimensional cell imaging," Bioinformatics,2019. R2: V. Ulman, M. Maska, K. Magnusson et al., "An objective comparisonof cell-tracking algorithms," Nature methods, vol. 14, no. 12, p. 1141,2017
本数据集由CytoPacq网络服务（https://cbia.fi.muni.cz/simulator [参考文献1]）生成的模拟活细胞显微成像序列构成。该数据集包含51个二维序列和41个三维序列。二维序列被划分为44个训练集和7个测试集，而三维序列则被划分为34个训练集和7个测试集。每个序列包含多达200帧。CytoPacq系统经过调整，以生成与细胞分割基准（http://www.celltrackingchallenge.net [参考文献2]）中的Fluo-N2DH-SIM+和Fluo-N3DH-SIM+数据集相似的数据。我们遵循挑战命名规范，分别将这些数据集命名为Fluo-N2DH-BGUSIM和Fluo-N3DH-BGUSIM，以区分二维和三维数据集。
参考文献1：D. Wiesner, D. Svoboda, M. Maska, and M. Kozubek, "Cytopacq: a web-interface for simulating multi-dimensional cell imaging," Bioinformatics, 2019.
参考文献2：V. Ulman, M. Maska, K. Magnusson et al., "An objective comparison of cell-tracking algorithms," Nature Methods, vol. 14, no. 12, p. 1141, 2017.
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