主要从事医用光学相关仪器研究，早期主要从事医用激光器方向研究，参与和负责了多种激光器相关研究和产品开发；当前主要研究方向为流式细胞术，开发了衍射成像流式仪原型机，提出了细胞衍射图的仿真方法，基于特征的细胞识别方法和基于深度学习的细胞识别方法。

目前为止，负责和参与国家、天津市以及横向科研项目累计20多项，获得授权国家发明专利8项，发表论文50多篇。

细胞检测，激光医学

1.    L. Zhao, L. Tang, M.S. Greene, Y. Sa, W. Wang, J. Jin, H. Hong, J.Q. Lu, X.H. Hu, "Deep learning of morphologic correlations to accurately classify CD4+ and CD8+ T cells by diffraction imaging flow cytometry", Analytical Chemistry, 94, 1567–1574 (2022)

2.    Yuan, S. , Sa, Y. , Sun, P. , Han, Y. ,  Feng, J.. "A flow cell imaging system combined diffraction and bright field microscopy." International Conference on Optical Instruments and Technology 2019: Optical Systems and Modern Optoelectronic Instruments 2020.

3.    冯婧文,撒昱.”基于机器学习技术的非染色细胞凋亡检测分类新方法”.中国细胞生物学学报,41(07):1371-1376(2019)

4.     Feng, JW; Feng, T ; Yang, CW; Wang, W; Sa, Y; Feng, YM, ”Feasibility study of stain-free classification of cell apoptosis based on diffraction imaging flow cytometry and supervised machine learning techniques”, APOPTOSIS, 23, 290-298(2018)

5.    Zhang, N; Sa, Y; Guo, Y; Lin, W; Wang, P; Feng, YM, “Discriminating Ramos and Jurkat Cells with Image Textures from Diffraction Imaging Flow Cytometry Based on a Support Vector Machine”, CURRENT BIOINFORMATICS, 13, 50-56(2018)

6.    J．Feng, J. Lin, P. Zhang, S. Yang, Y. Sa, Y. Feng, “A novel automatic quantification method for high-content screening analysis of DNA double strand-break response”, SCIENTIFIC REPORTS, 7,9581(2017)

7.    H. Wang, Y. Feng, Y. Sa, J.Q. Lu, J. Ding, J. Zhang, X.H. Hu, "Pattern recognition and classification of two cancer cell lines by diffraction imaging at multiple pixel distances", Pattern Recognition, 61, 234–244 (2017)

8.    X. Liang, M. Li, J. Q. Lu, C. Huang, Y. Feng, Y. Sa, J. Ding, X. H. Hu "Spectrophotometric determination of turbid optical parameters without using an integrating sphere", Applied Optics, 55, 2079-2085 (2016)

9.    H. Wang, C. Jin, Y. Feng, D. Qi, Y. Sa, X.H. Hu, "Quantitative assessment of image motion blur in diffraction images of moving biological cells", Optical Engineering, 55, 023103 (2016)

10.  W. Jiang, J.Q. Lu, L.V. Yang, Y. Sa, Y. Feng, J. Ding, X.H. Hu, "Comparison study of distinguishing cancerous and normal prostate epithelial cells by confocal and polarization diffraction imaging", Journal of Biomedical Optics, 21, 071102 (2016)

11.  J. Zhang, Y. Feng, W. Jiang, J.Q. Lu, Y. Sa, J. Ding, X. H. Hu, "Realistic optical cell modeling and diffraction imaging simulation for study of optical and morphological parameters of nucleus", Optics Express, 24, 366-377 (2016)

12.  H. Wang, Y. Feng, Y. Sa, Y. Ma, J.Q. Lu, X.H. Hu, "Acquisition of cross-polarized diffraction images and study of blurring effect by one time-delay-integration camera", Applied Optics, 54, 5223-5228 (2015)

13.   Pan, Ran;   Feng, Yuanming;   Sa, Yu;   Lu, Jun Q.;   Jacobs, Kenneth M.;   Hu, Xin-Hua, Analysis of diffraction imaging in non-conjugate configurations, Optics Express, 22(25), pp 31568-31574, 2014/12/15.

14.   Yang, Xu;   Feng, Yuanming;   Liu, Yahui;   Zhang, Ning;   Lin, Wang;   Sa, Yu;   Hu, Xin-Hua, A quantitative method for measurement of HL-60 cell apoptosis based on diffraction imaging flow cytometry technique, Biomedical Optics Express, 5(7), pp 2172-2183, 2014/7/1. DOI：10.1364/BOE.5.002172

15.   Guo, Yu;   Feng, Yuanming;   Sun, Jian;   Zhang, Ning;   Lin, Wang;   Sa, Yu;   Wang, Ping, Automatic Lung Tumor Segmentation on PET/CT Images Using Fuzzy Markov Random Field Model, Computational and Mathematical Methods in Medicine, 2014. DOI：10.1155/2014/401201

16.   Liu, Yahui;   Lin, Wang;   Yang, Xu;   Liang, Weizi;   Zhang, Jun;   Meng, Maobin;   Rice, John R.;   Sa, Yu;   Feng, Yuanming, Automatic quantitative analysis of morphology of apoptotic hl-60 cells, EXCLI Journal, vol.13, pp 19-27, 2014.