Dual-view photoacoustic microscopy for quantitative cell nuclear imaging

被引：19
|
作者：
Cai, De [1 ,2 ]
Wong, Terence T. W. [1 ,3 ]
Zhu, Liren [1 ]
Shi, Junhui [1 ]
Chen, Sung-Liang [2 ]
Wang, Lihong V. [1 ]
机构：
[1] CALTECH, Opt Imaging Lab, Andrew & Peggy Cherng Dept Med Engn, Dept Elect Engn, Pasadena, CA 91125 USA
[2] Shanghai Jiao Tong Univ, Univ Michigan Shanghai Jiao Tong Univ Joint Inst, Shanghai 200240, Peoples R China
[3] Hong Kong Univ Sci & Technol, Dept Chem & Biol Engn, Translat & Adv Bioimaging Lab, Hong Kong, Hong Kong, Peoples R China
来源：
OPTICS LETTERS | 2018年 / 43卷 / 20期
基金：
美国国家卫生研究院;
关键词：
PLANE ILLUMINATION MICROSCOPY; CANCER-CELLS; RESOLUTION; TOMOGRAPHY;
D O I：
10.1364/OL.43.004875
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
Optical-resolution photoacoustic microscopy (OR-PAM) is an emerging imaging modality for studying biological tissues. However, in conventional single-view OR-PAM, the lateral and axial resolutions-determined optically and acoustically, respectively-are highly anisotropic. In this Letter, we introduce dual-view OR-PAM to improve axial resolution, achieving three-dimensional (3D) resolution isotropy. We first use 0.5 mu m polystyrene beads and carbon fibers to validate the resolution isotropy improvement. Imaging of mouse brain slices further demonstrates the improved resolution isotropy, revealing the 3D structure of cell nuclei in detail, which facilitates quantitative cell nuclear analysis. (C) 2018 Optical Society of America
引用
收藏
页码：4875 / 4878
页数：4
相关论文
共 50 条
  • [41] Dual-View Distilled BERT for Sentence Embedding
    Cheng, Xingyi
    SIGIR '21 - PROCEEDINGS OF THE 44TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, 2021, : 2151 - 2155
  • [42] Dual-view Contrastive Learning for Auction Recommendation
    Ren, Dan Ni
    Hou, U. Leong
    Liu, Wei
    PROCEEDINGS OF THE 32ND ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2023, 2023, : 2146 - 2155
  • [43] Dual-View Visual Contextualization for Web Navigation
    Kil, Jihyung
    Song, Chan Hee
    Zheng, Boyuan
    Deng, Xiang
    Su, Yu
    Chao, We-Lun
    2024 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2024, : 14445 - 14454
  • [44] Quality Assessment for Dual-View Display System
    Chen, Yuanchun
    Liu, Ning
    Zhai, Guangtao
    Gu, Ke
    Wang, Jia
    Gao, Zhongpai
    Zhu, Yucheng
    2016 30TH ANNIVERSARY OF VISUAL COMMUNICATION AND IMAGE PROCESSING (VCIP), 2016,
  • [45] Dual-view angle backlight module design
    Chen, Bo-Tsuen
    Pan, Jui-Wen
    APPLIED OPTICS, 2015, 54 (28) : E80 - E87
  • [46] Dual-view one-dimensional integral imaging display with large viewing angle
    Zhao, Bai-Chuan
    Liu, Ze-Sheng
    Lv, Guo-Jiao
    OPTIK, 2021, 229
  • [47] Dual-view one-dimensional integral imaging display using parallax barrier
    Yang, Fan
    Ding, Zhi
    Huang, Ying
    Wu, Fei
    JOURNAL OF THE SOCIETY FOR INFORMATION DISPLAY, 2022, 30 (11) : 832 - 836
  • [48] Dual-View Preference Learning for Adaptive Recommendation
    Liu, Zhongzhou
    Fang, Yuan
    Wu, Min
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 35 (11) : 11316 - 11327
  • [49] Dual-view Molecular Pre-training
    Zhu, Jinhua
    Xia, Yingce
    Wu, Lijun
    Xie, Shufang
    Qin, Tao
    Zhou, Wengang
    Li, Houqiang
    Liu, Tie-Yan
    PROCEEDINGS OF THE 29TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, KDD 2023, 2023, : 3615 - 3627
  • [50] Dual-view integral imaging three-dimensional display using polarized glasses
    Wu, Fei
    Lv, Guo-Jiao
    Deng, Huan
    Zhao, Bai-Chuan
    Wang, Qiong-Hua
    APPLIED OPTICS, 2018, 57 (06) : 1447 - 1449
12345