Computational method for multi-modal microscopy based on transport of intensity equation

被引:0
|
作者
Li, Jiaji [1 ,2 ]
Chen, Qian [2 ]
Sun, Jiasong [1 ,2 ]
Zhang, Jialin [1 ,2 ]
Zuo, Chao [1 ,2 ]
机构
[1] Nanjing Univ Sci & Technol, Smart Computat Imaging Lab SCILab, Nanjing 210094, Jiangsu, Peoples R China
[2] Nanjing Univ Sci & Technol, Jiangsu Key Lab Spectral Imaging & Intelligent Se, Nanjing 210094, Jiangsu, Peoples R China
关键词
Computational imaging; microscopy; phase retrieval; programmable illuminaton; PHASE-AMPLITUDE MICROSCOPY; CONTRAST; RETRIEVAL;
D O I
10.1117/12.2266905
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, we develop the requisite theory to describe a hybrid virtual-physical multi-modal imaging system which yields quantitative phase, Zernike phase contrast, differential interference contrast (DIC), and light field moment imaging simultaneously based on transport of intensity equation (TIE). We then give the experimental demonstration of these ideas by time-lapse imaging of live HeLa cell mitosis. Experimental results verify that a tunable lens based TIE system, combined with the appropriate post-processing algorithm, can achieve a variety of promising imaging modalities in parallel with the quantitative phase images for the dynamic study of cellular processes.
引用
收藏
页数:4
相关论文
共 50 条
  • [21] The role of Chinese railway in multi-modal transport
    Liu, ZY
    Zhang, Q
    Huang, QH
    TRAFFIC AND TRANSPORTATION STUDIES, 2000, : 162 - 165
  • [22] RDF-Based Data Integration for Multi-modal Transport Systems
    Braghin, Stefano
    Lopes, Nuno
    Gkoufas, Yiannis
    Verago, Rudi
    Botea, Adi
    Berlingerio, Michele
    Bicer, Veli
    SMART CITY 360, 2016, 166 : 922 - 923
  • [23] A Multi-modal Authentication Method Based on Human Face and Palmprint
    Lu, Yinghua
    Fu, Yao
    Li, Jinsong
    Li, Xiaolu
    Kong, Jun
    FGCN: PROCEEDINGS OF THE 2008 SECOND INTERNATIONAL CONFERENCE ON FUTURE GENERATION COMMUNICATION AND NETWORKING, VOLS 1 AND 2, 2008, : 689 - 692
  • [24] Evaluation Method of Teaching Styles Based on Multi-modal Fusion
    Tang, Wen
    Wang, Chongwen
    Zhang, Yi
    2021 THE 7TH INTERNATIONAL CONFERENCE ON COMMUNICATION AND INFORMATION PROCESSING, ICCIP 2021, 2021, : 9 - 15
  • [25] Multi-modal Perception Fusion Method Based on Cross Attention
    Zhang B.-L.
    Pan Z.-H.
    Jiang J.-Z.
    Zhang C.-B.
    Wang Y.-X.
    Yang C.-L.
    Zhongguo Gonglu Xuebao/China Journal of Highway and Transport, 2024, 37 (03): : 181 - 193
  • [26] Multi-Modal Entity Alignment Method Based on Feature Enhancement
    Wang, Huansha
    Liu, Qinrang
    Huang, Ruiyang
    Zhang, Jianpeng
    APPLIED SCIENCES-BASEL, 2023, 13 (11):
  • [27] Visual Sorting Method Based on Multi-Modal Information Fusion
    Han, Song
    Liu, Xiaoping
    Wang, Gang
    APPLIED SCIENCES-BASEL, 2022, 12 (06):
  • [28] Multi-modal microscopy imaging with the OpenFlexure Delta Stage
    Mcdermott, Samuel
    Ayazi, Filip
    Collins, Joel
    Knapper, Joe
    Stirling, Julian
    Bowman, Richard
    Cicuta, Pietro
    OPTICS EXPRESS, 2022, 30 (15) : 26377 - 26395
  • [29] Multi-modal pedestrian detection with misalignment based on modal-wise regression and multi-modal IoU
    Wanchaitanawong, Napat
    Tanaka, Masayuki
    Shibata, Takashi
    Okutomi, Masatoshi
    JOURNAL OF ELECTRONIC IMAGING, 2023, 32 (01)
  • [30] Carrier selection in various sections of multi-modal transport based on multi-Agent
    Ma, Cai-Wen
    Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology, 2007, 39 (12): : 1989 - 1992