Histological and Cytological Imaging using Fourier Ptychographic Microscopy

被引:1
|
作者
Bendkowski, Christopher [1 ]
Fu, Bin [2 ]
Manescu, Petru [1 ]
Claveau, Remy [3 ]
Fernandez-Reyes, Delmiro [1 ]
Shaw, Michael J. [1 ,4 ]
机构
[1] UCL, Fac Engn Sci, Dept Comp Sci, 66-72 Gower St, London WC1E 6EA, England
[2] Univ Cambridge, Dept Chem, Lensfield Rd, Cambridge CB2 1EW, England
[3] Univ Strasbourg, ICube Lab, CNRS, UMR 7357, 300 Blvd Sebastien Brant, F-67460 Illkirch Graffenstaden, France
[4] Natl Phys Lab, Dept Chem & Biol Sci, Teddington TW11 0LW, Middx, England
来源
基金
英国工程与自然科学研究理事会;
关键词
optical microscopy; Fourier ptychographic microscopy; biomedical imaging; computational imaging; quantitative phase imaging; digital pathology;
D O I
10.1117/12.2604455
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Structural imaging using light microscopy is a cornerstone of histology and cytology. However, the utility of the optical microscope for diagnostic imaging is limited by the fundamental tradeoff between the field of view and spatial resolution and a reliance on exogenous dyes to generate sufficient image contrast. Fourier Ptychographic Microscopy (FPM) is a complex imaging modality with the potential to overcome these limitations by recovering high-resolution images of sample amplitude and phase from a set of low-resolution raw images captured under inclined illumination. In this article we explore the application of FPM to clinical imaging using a simple, low-cost FPM system and simulated and experimental data to explore the influence of both image acquisition parameters and hardware configuration on image quality and imaging throughput. The practical performance of the method is investigated by imaging peripheral blood films and histological tissue sections. We find that, at the cost of increased computational complexity, FPM increases the information capture capacity of the optical microscope significantly, allowing label-free examination and quantification of features such as tissue and cell morphology over large sample areas.
引用
收藏
页数:8
相关论文
共 50 条
  • [31] Deep learning approach to Fourier ptychographic microscopy
    Thanh Nguyen
    Xue, Yujia
    Li, Yunzhe
    Tian, Lei
    Nehmetallah, George
    OPTICS EXPRESS, 2018, 26 (20): : 26470 - 26484
  • [32] Fourier ptychographic microscopy with adaptive resolution strategy
    Xu, Jinghao
    Feng, Tianci
    Wang, Aiye
    Xu, Fannuo
    Pan, An
    OPTICS LETTERS, 2024, 49 (13) : 3548 - 3551
  • [33] Artifacts-free Fourier Ptychographic Microscopy using a misaligned setup
    Bianco, V
    Mandracchia, B.
    Behal, J.
    Barone, D.
    Memmolo, P.
    Ferraro, P.
    OPTICAL METHODS FOR INSPECTION, CHARACTERIZATION, AND IMAGING OF BIOMATERIALS V, 2021, 11786
  • [34] Phase Retrieval using Least Absolute Deviations for Fourier Ptychographic Microscopy
    Jiang, Xiaoming
    Wang, Tian
    Zhang, Zhonghua
    Lai, Chunhong
    SEVENTH ASIA PACIFIC CONFERENCE ON OPTICS MANUFACTURE (APCOM 2021), 2022, 12166
  • [35] Surface wave illumination Fourier ptychographic microscopy
    Liu, Qiulan
    Fang, Yue
    Zhou, Renjie
    Xiu, Peng
    Kuang, Cuifang
    Liu, Xu
    OPTICS LETTERS, 2016, 41 (22) : 5373 - 5376
  • [36] Fourier Ptychographic Microscopy 10 Years on: A Review
    Xu, Fannuo
    Wu, Zipei
    Tan, Chao
    Liao, Yizheng
    Wang, Zhiping
    Chen, Keru
    Pan, An
    CELLS, 2024, 13 (04)
  • [37] Optical system characterization in Fourier ptychographic microscopy
    Meshreki, John
    Kazim, Syed Muhammad
    Ihrke, Ivo
    OPTICS CONTINUUM, 2024, 3 (11): : 2218 - 2231
  • [38] System calibration method for Fourier ptychographic microscopy
    Pan, An
    Zhang, Yan
    Zhao, Tianyu
    Wang, Zhaojun
    Dan, Dan
    Lei, Ming
    Yao, Baoli
    JOURNAL OF BIOMEDICAL OPTICS, 2017, 22 (09)
  • [39] Adaptive denoising method for Fourier ptychographic microscopy
    Fan, Yao
    Sun, Jiasong
    Chen, Qian
    Wang, Mingqun
    Zuo, Chao
    OPTICS COMMUNICATIONS, 2017, 404 : 23 - 31
  • [40] Structured illumination fluorescence Fourier ptychographic microscopy
    Xiu, Peng
    Chen, Youhua
    Kuang, Cuifang
    Fang, Yue
    Wang, Yifan
    Fan, Jiannan
    Xu, Yingke
    Liu, Xu
    OPTICS COMMUNICATIONS, 2016, 381 : 100 - 106