OPEN SOURCE TOOLS FOR FLUORESCENT IMAGING

被引:7
|
作者
Hamilton, Nicholas A. [1 ]
机构
[1] Univ Queensland, Inst Mol Biosci, Div Genom Computat Biol, Brisbane, Qld, Australia
关键词
3D VISUALIZATION; MICROSCOPY; TRACKING; QUANTIFICATION; INFORMATICS; COLOCALIZATION; SOFTWARE; PATTERNS; ACCURATE; IMAGES;
D O I
10.1016/B978-0-12-391857-4.00020-3
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
As microscopy becomes increasingly automated and imaging expands in the spatial and time dimensions, quantitative analysis tools for fluorescent imaging are becoming critical to remove both bottlenecks in throughput as well as fully extract and exploit the information contained in the imaging. In recent years there has been a flurry of activity in the development of bio-image analysis tools and methods with the result that there are now many high-quality, well-documented, and well-supported open source bio-image analysis projects with large user bases that cover essentially every aspect from image capture to publication. These open source solutions are now providing a viable alternative to commercial solutions. More importantly, they are forming an interoperable and interconnected network of tools that allow data and analysis methods to be shared between many of the major projects. Just as researchers build on, transmit, and verify knowledge through publication, open source analysis methods and software are creating a foundation that can be built upon, transmitted, and verified. Here we describe many of the major projects, their capabilities, and features. We also give an overview of the current state of open source software for fluorescent microscopy analysis and the many reasons to use and develop open source methods.
引用
收藏
页码:393 / 417
页数:25
相关论文
共 50 条
  • [41] Management of Astronomical Software Projects with Open Source Tools
    Briegel, Florian
    Bertram, Thomas
    Berwein, Juergen
    Kittmann, Frank
    ASTRONOMICAL DATA ANALYSIS SOFTWARE AND SYSTEMS XIX, 2010, 434 : 225 - 228
  • [42] Open source tools for ATR development and performance evaluation
    Baumann, JM
    Dilsavor, R
    Stubbles, J
    Mossing, J
    AUTOMATIC TARGET RECOGNITION XII, 2002, 4726 : 133 - 140
  • [43] Input design and parameter estimation with open source tools
    Mayr, Simon
    Grabmair, Gernot
    Reger, Johann
    IFAC PAPERSONLINE, 2015, 48 (01): : 286 - 291
  • [44] Open source tools for geographic analysis in transport planning
    Robin Lovelace
    Journal of Geographical Systems, 2021, 23 : 547 - 578
  • [45] Industrial Experience with Open-Source EDA Tools
    Lueck, Christian
    Lopera, Daniela Sanchez
    Wenzek, Sven
    Ecker, Wolfgang
    MLCAD '22: PROCEEDINGS OF THE 2022 ACM/IEEE 4TH WORKSHOP ON MACHINE LEARNING FOR CAD (MLCAD), 2022, : 143 - 143
  • [47] Making more out of open-source tools
    West, B
    IEEE DESIGN & TEST OF COMPUTERS, 2006, 23 (02): : 176 - 176
  • [48] Comparative Study of Open Source Capture and Replay Tools
    Nedyalkova, S.
    Bernardino, J.
    IEEE LATIN AMERICA TRANSACTIONS, 2014, 12 (04) : 675 - 682
  • [49] Open Source vs Proprietary Project Management Tools
    Abramova, Veronika
    Pires, Francisco
    Bernardino, Jorge
    NEW ADVANCES IN INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 1, 2016, 444 : 331 - 340
  • [50] An Acceptance Empirical Assessment of Open Source Test Tools
    Costa Valentim, Natasha M.
    Lopes, Adriana
    Cesar, Edson
    Conte, Tayana
    Rizzo Vincenzi, Auri Marcelo
    Maldonado, Jose Carlos
    ICEIS: PROCEEDINGS OF THE 19TH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS - VOL 2, 2017, : 379 - 386