论文著作：
[1] Wang, C., Ma, Y., Pei, Z., Song, F., Zhong, J., Wang, Y., Yan, X., Dai, P., Jiang, Y., Qiu, J., Shi, M., & Wu, X.* Sheathless acoustic based flow cell sorter for enrichment of rare cells. Cytometry A, 101(4), 311-324. (2022).
[2] Wang, C., Ma, Y., Chen, Z., Wu, Y., Song, F., Qiu, J., Shi, M., & Wu, X.* Sheathless microflow cytometer utilizing two bulk standing acoustic waves. Cytometry A, 99(10), 987-998. (2021).
[3] Zhang, L., Shi, F., Guo, J., Wang, Q., Kolb, J. F., Wang, W., Wu, X. & Zhuang, J. Impedimetric characterization of normal and cancer cell responses after nano-pulse stimulation. Journal of Physics D: Applied Physics, 54(18), 185401. (2021).
[4] Yan, X., Wang, C., Ma, Y., Wang, Y., Song, F., Zhong, J., & Wu, X.* Development of air-assisted atomization device for the delivery of cells in viscous biological ink prepared with sodium alginate. Review of Scientific Instruments, 94(4). (2023).
[5] Yan, X., C. Wang, Y. Wang, F. Song and X. Wu* Optimization of living cell delivery parameters in air-assisted atomization. Optics and Precision Engineering 30(14): 1725-1737. (2022).
[6] Jian, J., Xiong, F., Xia, W., Zhang, R., Gu, J., Wu, X., Meng, X., & Gao, X. Fully convolutional networks (FCNs)-based segmentation method for colorectal tumors on T2-weighted magnetic resonance images. Australasian Physical & Engineering Sciences in Medicine, 41: 393–401. (2018).
[7] Li, Y., Jian, J., Pickhardt, P. J., Ma, F., Xia, W., Li, H., Zhang, R., Zhao, S., Cai, S., Zhao, X., Zhang, J., Zhang, G., Jiang, J., Zhang, Y., Wang, K., Lin, G., Feng, F., Lu, J., Deng, L., Wu, X., Qiang, J., & Gao, X. MRI‐Based Machine Learning for Differentiating Borderline From Malignant Epithelial Ovarian Tumors: A Multicenter Study. Journal of Magnetic Resonance Imaging, 52: 897–904. (2020).
[8] Jian, J., Li, Y., Pickhardt, P. J., Xia, W., He, Z., Zhang, R., Zhao, S., Zhao, X., Cai, S., Zhang, J., Zhang, G., Jiang, J., Zhang, Y., Wang, K., Lin, G., Feng, F., Wu, X., Gao, X., & Qiang, J. MR image-based radiomics to differentiate type and type epithelial ovarian cancers. European Radiology, 31: 403–410. (2021).
[9] Jian, J., Xia, W., Zhang, R., Zhao, X., Zhang, J., Wu, X., Li, Y., Qiang, J., & Gao, X. Multiple instance convolutional neural network with modality-based attention and contextual multi-instance learning pooling layer for effective differentiation between borderline and malignant epithelial ovarian tumors. Artificial Intelligence in Medicine, 121: 102194. (2021).
[10] Jian, J., Li, Y., Xia, W., He, Z., Zhang, R., Li, H., Zhao, X., Zhao, S., Zhang, J., Cai, S., Wu, X., Gao, X., & Qiang, J. MRI-Based Multiple Instance Convolutional Neural Network for Increased Accuracy in the Differentiation of Borderline and Malignant Epithelial Ovarian Tumors. Journal of Magnetic Resonance Imaging, 56: 173–181. (2022).
[11] 张龙, 陈建生, 高静, 檀慧明, & 武晓东* 大功率半导体激光器驱动电源及温控系统设计. 红外与激光工程, 47(10), 102-108. (2018).
[12] 简俊明, 文刚, 朱茜, 金鑫, 杨光, 杨西斌, 李辉, & 武晓东* 基于线阵CCD的多表面焦点偏移测量. 激光与红外, 48(04), 431-437. (2018).
[13] 严心涛, 王策, 王耀, 宋飞飞, & 武晓东*. 空气辅助雾化的细胞递送参数的优化. 光学精密工程, 30(14), 1725-1737. (2022).
[14] 胡慧杰, 巩岩, & 武晓东* 镜面散射对显微物镜杂散光特性影响的仿真研究. 激光与光电子学进展, 52(10), 178-184. (2015).
[15] 严心涛, 钟金凤, 吴云良, 王策, & 武晓东* 流式细胞仪气动稳流聚焦系统设计与测试. 实验室研究与探索, 35(01), 39-42+75. (2016).
武晓东
江苏省
研究领域：
生物医药
研究方向：
细胞分析技术、细胞分选技术：流式聚焦液流控制技术、微弱光信号探测技术、高速信号采集与处理技术
所在单位：
中国科学院苏州生物医学工程技术研究所
