A Frequency Domain SIM Reconstruction Algorithm Using Reduced Number of Images

被引：38

作者：

Lal, Amit ^{[1
,2
]}

Shan, Chunyan ^{[3
]}

Zhao, Kun ^{[1
]}

Liu, Wenhui ^{[4
]}

Huang, Xiaoshuai ^{[5
]}

Zong, Weijian ^{[5
]}

Chen, Liangyi ^{[5
]}

Xi, Peng ^{[1
,2
]}

机构：

[1] Peking Univ, Coll Engn, Dept Biomed Engn, Beijing 100871, Peoples R China

[2] Shanghai Univ Sci & Technol, Sch Optelect & Comp Engn, Shanghai 200093, Peoples R China

[3] Peking Univ, Sch Life Sci, Beijing 100871, Peoples R China

[4] Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China

[5] Peking Univ, Inst Mol Med, Beijing 100871, Peoples R China

来源：

IEEE TRANSACTIONS ON IMAGE PROCESSING | 2018年 / 27卷 / 09期

基金：

中国国家自然科学基金;

关键词：

Structured illumination; SIM; super-resolution; optical transfer function; ordinary least square (OLS); STRUCTURED-ILLUMINATION MICROSCOPY; FLUORESCENCE MICROSCOPY; EXCITATION MICROSCOPY; RESOLUTION; SUPERRESOLUTION; PHASE; OPTIMIZATION; SPECTRA;

D O I：

10.1109/TIP.2018.2842149

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Conventional 2D structured illumination microscopy (SIM) requires nine raw images to reconstruct a super-resolved image. In order to increase the frame rate of 2D SIM, attempts are being made to reduce the number of raw SIM images. However, all the proposed SIM reconstruction algorithms (SIM-RA) capable of reconstructing super-resolution (SR) image with a reduced number of raw SIM images operate in the spatial domain. Here, we present a frequency domain SIM-RA based on ordinary least squares technique, which enables reconstruction of SR image using four raw SIM images. Unlike the spatial domain RA, which produces the SR image through iterative convergence, the presented RA provides a single-step solution. It also reveals the fundamental limitation of least number of raw images required for resolution doubling in SIM.

引用

页码：4555 / 4570

页数：16

共 50 条

[1] Partial-frequency-spectrum reconstruction algorithm of SIM with reduced raw images
Zhang, Yinxin
Fei, Jianyang
Liu, Guoxuan
Deng, Jiajun
Yang, Huaidong
OSA CONTINUUM, 2020, 3 (01) : 1 - 9
[2] A Frequency Domain Reconstruction of SIM Image using four Raw Images
Lal, Amit
Huang XiaoShuai
Peng Xi
OPTICS IN HEALTH CARE AND BIOMEDICAL OPTICS VII, 2017, 0024
[3] FREQUENCY-DOMAIN BEHAVIOR OF THE EM RECONSTRUCTION ALGORITHM
CHINN, G
HUANG, SC
JOURNAL OF NUCLEAR MEDICINE, 1993, 34 (05) : P175 - P175
[4] Rapid refocusing of ultrasound images in frequency domain using range-Doppler algorithm
Jakovljevic, Marko
Zhuang, Louise L.
Samir, Anthony E.
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 2023, 153 (03):
[5] A Frequency Domain Adaptive Watermarking Algorithm for Still Colour Images
Al-Gindy, A.
Al-Ahmad, H.
Qahwaji, R.
Tawfik, A.
2009 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTATIONAL TOOLS FOR ENGINEERING APPLICATIONS, 2009, : 186 - +
[6] Recaptured images detection algorithm based on frequency domain transformation
Liu, Chang-M
Sun, Yan-J
Shi, Yu
JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING, 2022, 22 (02) : 689 - 696
[7] Frequency domain simultaneous algebraic reconstruction techniques: Algorithm and convergence
Wang, J
Zheng, YB
Computational Imaging III, 2005, 5674 : 344 - 353
[8] 3D Shape Reconstruction from Images in the Frequency Domain
Shen, Weichao
Jia, Yunde
Wu, Yuwei
2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019), 2019, : 4466 - 4474
[9] Reconstruction of sectional images in frequency-domain based photoacoustic imaging
Zhu, Banghe
Sevick-Muraca, Eva M.
OPTICS EXPRESS, 2011, 19 (23): : 23286 - 23297
[10] Rapid registration of multimodal images using a reduced number of voxels
Huang, Xishi
Hill, Nicholas A.
Ren, Jing
Peters, Terry M.
MEDICAL IMAGING 2006: VISUALIZATION, IMAGE-GUIDED PROCEDURES, AND DISPLAY, 2006, 6141

← 1 2 3 4 5 →