ON PROPER SIMULATION OF CHROMATIN STRUCTURE IN STATIC IMAGES AS WELL AS IN TIME-LAPSE SEQUENCES IN FLUORESCENCE MICROSCOPY

被引:0
|
作者
Svoboda, David [1 ]
Ulman, Vladimir [1 ]
Peterlik, Igor [2 ]
机构
[1] Masaryk Univ, Fac Informat, Ctr Biomed Image Anal, Bot 68a, Brno, Czech Republic
[2] Masaryk Univ, Inst Comp Sci, Brno, Czech Republic
来源
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI) | 2015年
关键词
Simulation; Synthetic cell; Chromatin structure; Nucleus deformation; Linear elasticity; FEM; THICK TISSUE-SECTIONS; CELL-NUCLEI; SEGMENTATION; FRAMEWORK;
D O I
暂无
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
In fluorescence microscopy, where the benchmark datasets for validating the various image analysis methods are difficult to obtain, a great demand is either for manually annotated real image data or for realistic computer generated ones. In the last two decades, the latter case has become more and more accessible due to an increasing computer capabilities. However, the development of elaborate models, especially in the field of fluorescence microscopy imaging, is less progressive. In this paper, we propose a novel approach, based on well established concepts, to properly imitate the structure of chromatin inside the interphase cell nucleus as well as its dynamics. The performance of the approach was quantitatively evaluated against the real data. The results show that the produced images are sufficiently plausible and visually resemble their real counter parts, both for fixed and living cells.
引用
收藏
页码:712 / 716
页数:5
相关论文
共 50 条
  • [21] Segmentation Method of Time-Lapse Microscopy Images with the Focus on Biocompatibility Assessment
    Soukup, Jindrich
    Cisar, Petr
    Sroubek, Filip
    MICROSCOPY AND MICROANALYSIS, 2016, 22 (03) : 497 - 506
  • [22] MitoGen: A Framework for Generating 3D Synthetic Time-Lapse Sequences of Cell Populations in Fluorescence Microscopy
    Svoboda, David
    Ulman, Vladimir
    IEEE TRANSACTIONS ON MEDICAL IMAGING, 2017, 36 (01) : 310 - 321
  • [23] Detection and Localization of Mouse Induced Pluripotent Stem Cell Formation using Time-Lapse Fluorescence Microscopy Images
    Chang, Yuan-Hsiang
    Yokota, Hideo
    Abe, Kuniya
    Liu, Jung Hsien
    Tsai, Ming-Dar
    2016 38TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2016, : 3914 - 3917
  • [24] Automated Segmentation and Tracking of Dynamic Focal Adhesions in Time-Lapse Fluorescence Microscopy
    Li, Guannan
    Rajpoot, Nasir
    NEURAL INFORMATION PROCESSING, ICONIP 2012, PT I, 2012, 7663 : 648 - 655
  • [25] Comparative evaluation of performance measures for shading correction in time-lapse fluorescence microscopy
    Liu, L.
    Kan, A.
    Leckie, C.
    Hodgkin, P. D.
    JOURNAL OF MICROSCOPY, 2017, 266 (01) : 15 - 27
  • [26] Comparative evaluation of performance measures for shading correction in time-lapse fluorescence microscopy
    Liu, L.
    Kan, A.
    Leckie, C.
    Hodgkin, P.D.
    Journal of Microscopy, 2017, 266 (01): : 15 - 27
  • [27] Deep Semantic Edge for Cell Counting and Localization in Time-Lapse Microscopy Images
    Zhang, Tianwei
    Sun, Kun
    PATTERN RECOGNITION AND COMPUTER VISION,, PT III, 2021, 13021 : 337 - 349
  • [28] Automatic segmentation of time-lapse microscopy images depicting a live Dharma embryo
    Zacharia, Eleni
    Bondesson, Maria
    Riu, Anne
    Ducharme, Nicole A.
    Gustafsson, Jan-Ake
    Kakadiaris, Ioannis A.
    2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2011, : 8082 - 8085
  • [29] Simultaneous tracking of multiple dynamic microtubule tips in time-lapse microscopy images
    Hwang, Wonmuk
    Arpag, Goker
    Farmer, Veronica J.
    Lawrence, Elizabeth
    Zanic, Marija
    BIOPHYSICAL JOURNAL, 2024, 123 (03) : 46A - 46A
  • [30] The Chaotic Behavior of the Endoplasmic-Reticulum Network in Time-Lapse Microscopy Images
    Pham, Tuan D.
    2013 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2013,