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Abstract (max. 200 words):
This demo will introduce users to image processing and visualization in BioImage Suite Web (BISWeb; https://bioimagesuiteweb.github.io/webapp/). BISWeb is a point-and-click app that runs in any modern web browser and most devices without any installation necessary, yet with performance rivaling that of a locally installed software. BISWeb currently supports a range of functionality for image processing, visualization, and data sharing in human and animal fMRI: defacing, segmentation, registration, functional connectivity visualization, live figures, and more. We will highlight the use of live figures, which save the full state of the application and data for a user to return to later or share with collaborators. This information may be used to support future validation of both the analysis and the software (e.g., across versions).
Preferred Session
Web-based solutions in neuroscience; Tuesday or Wednesday
Developer Info
BISWeb is written primarily in JavaScript, and computationally intensive processing via C++ is accomplished by leveraging WebAssembly to make low-level C++ code accessible to web-based applications. All code associated with BISWeb is and will remain openly available.
The text was updated successfully, but these errors were encountered:
SNeuroble
changed the title
Introducing Bioimage Suite Web: A Simple, Modern, & Powerful Imaging Software Suite
Introducing Bioimage Suite Web
May 14, 2019
Hi @SNeuroble, I’m happy to tell you that we’d like to host your presentation as a demo/tutorial talk in the OSR in the Web-based solutions for neuroscience session. This will be a talk of 20 minutes + 5 minutes of questions. We’ll update the program in the ReadMe.md shortly. We’d much appreciate it if you could submit slides and other presentation material to the presentations folder by means of a Pull Request to this repository, preferably but not necessarily before the presentation.
Title
Introducing Bioimage Suite Web: A Simple, Modern, & Powerful Imaging Software Suite
Presentor and Affiliation
Stephanie Noble (@SNeuroble), Yale University
Collaborators/Team
Zachariah Saltzman (@zsaltzman), Cheryl Lacadie, Haley Garbus, Javid Dadashkarimi (@dadashkarimi), Stephanie Noble (@SNeuroble), John Onofrey, Xenophon Papademetris (@XeniosP)*, Dustin Scheinost (@dscheinost)*
Yale University
* PI and lead developer
Github Link
https://github.com/bioimagesuiteweb/bisweb
Abstract (max. 200 words):
This demo will introduce users to image processing and visualization in BioImage Suite Web (BISWeb; https://bioimagesuiteweb.github.io/webapp/). BISWeb is a point-and-click app that runs in any modern web browser and most devices without any installation necessary, yet with performance rivaling that of a locally installed software. BISWeb currently supports a range of functionality for image processing, visualization, and data sharing in human and animal fMRI: defacing, segmentation, registration, functional connectivity visualization, live figures, and more. We will highlight the use of live figures, which save the full state of the application and data for a user to return to later or share with collaborators. This information may be used to support future validation of both the analysis and the software (e.g., across versions).
Preferred Session
Web-based solutions in neuroscience; Tuesday or Wednesday
Additional Context
References
BISWeb app: www.bioimagesuite.org
Github repository: https://github.com/bioimagesuiteweb/bisweb/
Video tutorials: https://www.youtube.com/channel/UCizfR_ryJ0E-2uZspjwYtwg
User documentation: https://bioimagesuiteweb.github.io/bisweb-manual/
Developer documentation: https://github.com/bioimagesuiteweb/bisweb/blob/master/docs/README.md
Link to download desktop/command line version of BIS: http://bisweb.yale.edu/binaries/
Developer Info
BISWeb is written primarily in JavaScript, and computationally intensive processing via C++ is accomplished by leveraging WebAssembly to make low-level C++ code accessible to web-based applications. All code associated with BISWeb is and will remain openly available.
The text was updated successfully, but these errors were encountered: