The research of the Smart Imaging Lab, led by Prof. Guoan Zheng @ UConn, focuses on the development of novel imaging/sensing tools to tackle measurement problems in biology, medicine, and metrology. The major techniques that are under development in the laboratory include terapixel hyperspectral imaging, rapid focusing map surveying, imaging through diffusing layer, angular light modulator, single-pixel 3D fluorescence imaging, whole slide imaging system (InstantScope), multiplexed structured illumination, LCD-based digital eyeglass, gigapixel imaging using flatbed scanner, gigapixel Fourier ptychography, super-resolution imaging approaches, 3D tomography imaging, ePetri dish and related lab-on-a-chip platforms, surface-plasmon-enabled imaging devices, and other novel imaging techniques. Our lab is currently supported by NSF, NIH and CT innovations.
The Fourier Ptychographic imaging approach represents a new way of tackling microscopy by transforming a physical optical problem to a computational problem. Through this reduction, we can push the performance of standard imaging systems beyond their physical limitations.We have demonstrated the use of Fourier ptychography for high-resolution, high-throughput gigapixel imaging, quantitative phase imaging, field-portable high-resolution microscope using a cell phone lens, spectral multiplexing, adaptive imaging, 3D holographic imaging, macroscopic imaging beyond the diffraction limit of the photographic lens. We have also extended the idea for super-resolution fluorescence imaging, incoherent photographic imaging, multiplexed structured illumination. Some of our gigapixel images generated via Fourier ptychography can be found on Gigapan, for example, a human brain section with Alzheimer disease (shown below) and a breast cancer slide.
(Book) Guoan Zheng, “Fourier Ptychographic Imaging: a MATLAB Tutorial”, IOP Press, May 2016.
(Cover paper) Shaowei Jiang, Jiakai Zhu, Pengming Song, Chengfei Guo, Zichao Bian, Ruihai Wang, Yikun Huang, Shiyao Wang, He Zhang, and Guoan Zheng, “Wide-field, high-resolution lensless on-chip microscopy via near-field blind ptychographic modulation”, Lab on a Chip, 2020, DOI: 10.1039/C9LC01027K. (pdf)
(Editor’s pick) Chengfei Guo, Zichao Bian, Shaowei Jiang, Michael Murphy, Jiakai Zhu, Ruihai Wang, Pengming Song, Xiaopeng Shao, Yongbing Zhang, and Guoan Zheng, “OpenWSI: a low-cost, high-throughput whole slide imaging system via single-frame autofocusing and open-source hardware,” Optics Letters, 45,1,(2020). (pdf)
(Editor’s pick) He Zhang, Zichao Bian, Shaowei Jiang, Jian Liu, Pengming Song, and Guoan Zheng, “Field-portable quantitative lensless microscopy based on translated speckle illumination and sub-sampled ptychographic phase retrieval,” Optics Letters, 44(8), 1976-1979, (2019). (pdf)
Kaikai Guo, Shaowei Jiang, and Guoan Zheng, “Multilayer fluorescence imaging on a single-pixel detector,” Biomedical Optics Express, 7, 7, 2425 (2016).
Kaikai Guo, Jun Liao, Zichao Bian, Xin Heng, and Guoan Zheng, “InstantScope: a low-cost whole slide imaging system with instant focal plane detection,” Biomedical Optics Express, 6, 9, 3210 (2015).
Guoan Zheng, Roarke Horstmeyer and Changhuei Yang, “Wide-field, high-resolution Fourier ptychographic microscopy,” Nature Photonics, 7, 739–745 (2013) (Featured by Nature) (pdf).
Guoan Zheng, Seung Ah Lee, Yaron Antebi, Micheal B. Elowitz, and Changhuei Yang, “The ePetri dish, an on-chip cellimaging platform based on subpixel perspective sweeping microscopy (SPSM),” Proceedings of the National Academy of Sciences, 108, 16889-94 (2011). (Highlighted by Nature Methods).
Kaikai Guo, Zibang Zhang, Shaowei Jiang, Jun Liao, Jingang Zhong, Yonina C. Eldar, and Guoan Zheng, “13-fold resolution gain through turbid layer via translated unknown speckle illumination,” Biomedical Optics Express, 9(1), (2018).
Jun Liao, Shaowei Jiang, Zibang Zhang, Kaikai Guo, Zichao Bian, Yutong Jiang, Jingang Zhong, Guoan Zheng, “Terapixel hyperspectral whole slide imaging via slit-array detection and projection,” Journal of Biomedical Optics, 23(6), 066503, (2018) (pdf).