Image processing and interactive visualization of confocal microscopy images

被引:0
|
作者
Tang Min [1 ,2 ]
Wang Hui-Nan [2 ]
机构
[1] Nantong Univ, Coll Elect Engn, Nantong 226007, Peoples R China
[2] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing 210016, Jiangsu, Peoples R China
关键词
Image processing; volume visualization; virtual reality; laser scanning confocal microscopy;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The essence and methodology is proposed for image processing and interactive visualization of confocal microscopy images. Firstly, an intensity compensation algorithm is applied to reduce noises resulted from light absorption and scattering by objects and particles in the volume through which light passed. Secondly, a deconvolution algorithm based on Maximum A Posteriori is applied to improve the image stacks' quality. Lastly, the ray-casting algorithm is used to reconstruct the fine details in the volume. Furthermore, interactive control panel is integrated to provide users an intuitive interface to view the cells and its structures through translation, rotation and zoom in/out operations. Experimental results demonstrate that the speed and versatility of the program allows for convenient, fast, interactive examination of unknown cell structures even on commodity PC without any other special hardware. The program is also able to visualize dynamically changing temporary structures conveniently in addition to static images.
引用
收藏
页码:165 / 174
页数:10
相关论文
共 50 条
  • [31] Visualization of time dependent confocal microscopy data
    de Leeuw, WC
    van Liere, R
    Verschure, PJ
    Visser, AE
    Manders, EMM
    van Driel, R
    VISUALIZATION 2000, PROCEEDINGS, 2000, : 473 - 476
  • [32] Microtensiometer for Confocal Microscopy Visualization of Dynamic Interfaces
    Iasella, Steven V.
    Barman, Sourav
    Ciutara, Clara
    Huang, Boxun
    Davidson, Michael L.
    Zasadzinski, Joseph A.
    JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, 2022, (187):
  • [33] Statistical evaluation of confocal microscopy images
    Zucker, RM
    Price, OT
    CYTOMETRY, 2001, 44 (04): : 295 - 308
  • [34] CONFOCAL MICROSCOPY AND 3-D VISUALIZATION
    RICHARDSON, M
    AMERICAN LABORATORY, 1990, 22 (17) : 19 - &
  • [35] Standards in virtual microscopy: from tissue processing to image acquisition and visualization
    Gian Kayser
    Jürgen Görtler
    Nicolas Kluge
    Thorsten Wiech
    Martin Werner
    Klaus Kayser
    Diagnostic Pathology, 5 (Suppl 1)
  • [36] Evolutionary optimization of image processing for cell detection in microscopy images
    Andreas Haghofer
    Sebastian Dorl
    Andre Oszwald
    Johannes Breuss
    Jaroslaw Jacak
    Stephan M. Winkler
    Soft Computing, 2020, 24 : 17847 - 17862
  • [37] Evolutionary optimization of image processing for cell detection in microscopy images
    Haghofer, Andreas
    Dorl, Sebastian
    Oszwald, Andre
    Breuss, Johannes
    Jacak, Jaroslaw
    Winkler, Stephan M.
    SOFT COMPUTING, 2020, 24 (23) : 17847 - 17862
  • [38] A Review On digital image processing techniques for in-Vivo confocal images of the cornea
    Herrera-Pereda, Raidel
    Taboada Crispi, Alberto
    Babin, Danilo
    Philips, Wilfried
    Holsbach Costa, Marcio
    MEDICAL IMAGE ANALYSIS, 2021, 73
  • [39] Real-time visualization of interactive parameter changes in image processing systems
    Schneider, W
    Eckstein, W
    Steger, C
    VISUAL DATA EXPLORATION AND ANALYSIS IV, 1997, 3017 : 286 - 295
  • [40] Enhanced visualization of retinal vasculature in fundus images through image processing
    Kim, Y. T.
    Choi, S. H.
    ACTA OPHTHALMOLOGICA, 2016, 94