Short Biography

Focusing on fields such as aeronautics and astronautics, biomedical engineering, and industrial production, has long been engaged in scientific research in the areas of dynamic quantitative microscopic imaging of biological cells, label-free high-throughput flow cytometry, non-contact high-precision surface micro-vibration detection, and high-precision rapid surface defect detection.

Research Area

1. Dynamic quantitative observation technology for living biological cells based on digital holographic microscopy

2. Label-free high-throughput cell recognition and sorting technology based on optical diffraction tomography

3. Non-contact high-precision micro-vibration detection technology based on heterodyne interferometry

4. Industrial surface defect detection technology based on multimodal imaging and artificial intelligence algorithms

Courses

1. Teaching the graduate course "Fiber Optics"

2. Teaching the undergraduate course "Optoelectronic Technology"

3. Teaching the undergraduate course "Principles and Technologies of Optical Communication"

4. Teaching the undergraduate course "P Photonics Theory and Technology"

Papers & Books

1. Y Liu, W Xiao, X Xiao, H Wang, R Peng, J Yang, Y Feng, Q Zhao, F Pan*, Deep learning-assisted holo-tomographic flow cytometry with sparse data, Optics & Laser Technology, 2025, 192, 113623.

2. Y Liu, W Xiao, F Pan*，Sparse holographic tomography reconstruction method based on self-supervised neural network with learning to synthesize strategy，Optics & Laser Technology, 2025, 182, 112028.

3. L Xin, W Xiao, H Zhang, Y Liu, X Li, P Ferraro, F Pan*, Classification of paclitaxel-resistant ovarian cancer cells using holographic flow cytometry through interpretable machine learning, Sensors and Actuators B: Chemical, 2024, 414, 135948.

4. Y Liu, W Xiao, X Xiao, H Wang, R Peng, Y Feng, Q Zhao, F Pan*, Dynamic tracking of onion-like carbon nanoparticles in cancer cells using limited-angle holographic tomography with self-supervised learning, Biomedical Optics Express, 2024 15 (5), 3076-3091.

5. L Xin, X Xiao, W Xiao, R Peng, H Wang, F Pan*, Screening for urothelial carcinoma cells in urine based on digital holographic flow cytometry through machine learning and deep learning methods, 2024, Lab on a Chip 24 (10), 2736-2746.

6. Gioele Ciaparrone, Daniele Pirone, Pierpaolo Fiore, Lu Xin, Wen Xiao, Xiaoping Li, Francesco Bardozzo, Vittorio Bianco, Lisa Miccio, Feng Pan*, Pasquale Memmolo*, Roberto Tagliaferri, Pietro Ferraro, Label-free cell classification in holographic flow cytometry through an unbiased learning strategy, 2024, Lab on a Chip 24 (4), 924-932.

7. Lu Xin, Wen Xiao, Huanzhi Zhang, Xiaosu Yi, Xiao ping Li, Feng Pan*, Classification of drug-resistant ovarian cancer cells using holographic flow cytometry through interpretable machine learning, Optical Methods for Inspection, Characterization, and Imaging of Biomaterials VI, 2023, 12622, 185-189.

8. Daniele Pirone, Lu Xin, Vittorio Bianco, Lisa Miccio, Wen Xiao, Leiping Che, Xiaoping Li, Pasquale Memmolo, Feng Pan*, Pietro Ferraro*. Identification of drug-resistant cancer cells in flow cytometry combining 3D holographic tomography with machine learning, Sensors and Actuators B: Chemical, 2023, 375, 132963.

9. 刘雅坤，肖文，车蕾平，李胤嘉，肖溪，王皓，潘锋*, 基于数字全息显微层析的癌细胞空泡化成像研究（特邀）. 中国激光，2023，50(9)，0907203.

10. Xi Xiao, Leiping Che, Yinjia Li, Ran Peng, Mingqing Wang, Wen Xiao, Feng Pan*, Hao Wang*. Label-free observation of morphological alteration of irradiated-urothelial bladder carcinoma cells through digital holographic microscopy, 2022, Frontiers in Physics, 10, 925523.

11. Yakun Liu, Wen Xiao, Huanzhi Zhang, Lu Xin, Xiaoping Li, Feng Pan*. Chemotherapy drug potency assessment method of ovarian cancer cells by digital holography microscopy, Biomedical Optics Express, 2022, 8(13), 4370-4385.

12. 辛露，肖文，刘雅坤，张焕芝，李小平，潘锋*，数字全息成像定量监测癌细胞凋亡过程形态变化（特邀）. 光子学报，2022，51(10)，1017001.

13. Daniele Pirone, Massimiliano Maria Villone, Pasquale Memmolo, Zhe Wang, Volodymyr Tkachenko, Wen Xiao, Leiping Che, Lu Xin, Xiaoping Li, Feng Pan*, Pietro Ferraro*, Pier Luca Maffettone*. On the hydrodynamic mutual interactions among cells for high-throughput microfluidic holographic cyto-tomography, 2022, Optics and Lasers in Engineering, 158, 107190.

14. Lu Xin, Wen Xiao, Leiping Che, JinJin Liu, Lisa Miccio, Vittorio Bianco, Pasquale Memmolo, Pietro Ferraro, Xiaoping Li, Feng Pan*. Label-free assessment of the drug resistance of epithelial ovarian cancer cells in a microfluidic holographic flow cytometer boosted through machine learning, 2021, ACS omega, 6(46), 31046-31057.

15. Wen Xiao, Zonghui Chen, Feng Pan*, Xueqin Hou, Hongliang Hao, Zhuang Guo. Full-field laser heterodyne imaging vibrometry using a CMOS-DVR system, 2021, Applied Optics, 27(60), 8513-8523.

16. Wen Xiao, Lu Xin, Runyu Cao, Xintong Wu, Ran Tian, Leiping Che, Lianwen Sun, Pietro Ferraro, Feng Pan*. Sensing morphogenesis of bone cells under microfluidic shear stress by holographic microscopy and automatic aberration compensation with deep learning, 2021, Lab on a Chip, 7(21), 1385-1394.

17. Leiping Che, Wen Xiao, Feng Pan*, Pietro Ferraro, Exploiting a holographic polarization microscope for rapid autofocusing and 3D tracking, 2020, Biomedical Optics Express, 12(11), 7150-7164.

18. Che Leiping, Wen Xiao, Li Xiaoping, Jinjin Liu, Feng Pan*, Pietro Ferraro. Automatic removal of phase aberration in holographic microscopy for drug sensitivity detection of ovarian cancer cells, 2020, OSA Continuum, 7(3), 1856-1868.

19. Feng Pan, Bin Dong, Wen Xiao, Pietro Ferraro. Stitching sub-aperture in digital holography based on machine learning, 2020, Optics Express, 5(23), 6537-6551.