The IBEX imaging Knowledge-Base: a community resource enabling adoption and development of immunofluoresence imaging methods
Autor/innen
- Z. Yaniv
- I.U. Anidi
- L. Arakkal
- A.J. Arroyo-Mejías
- R.T. Beuschel
- K. Börner
- C.J. Chu
- B. Clark
- M.R. Clatworthy
- J. Colautti
- F. Coscia
- J. Croteau
- S. Denha
- R. Dever
- W.O. Dutra
- S. Fritzsche
- S. Fullam
- M.Y. Gerner
- A. Gola
- K.J. Gollob
- J.M. Hernandez
- J.L. Hor
- H. Ichise
- Z. Jing
- D. Jonigk
- E. Kandov
- W. Kastenmüller
- J.F.E. Koenig
- A. Kothurkar
- R.K. Kortekaas
- A.Y. Kreins
- I.T. Lamborn
- Y. Lin
- K.L.P. Morais
- A. Lunich
- J.C.S. Luz
- R.B. MacDonald
- C. Makranz
- V.I. Maltez
- J.E. McDonough
- R.V. Moriarty
- J.M. Ocampo-Godinez
- V.M. Olyntho
- A. Oxenius
- K. Padhan
- K. Remmert
- N. Richoz
- E.C. Schrom
- W. Shang
- L. Shi
- R.M. Shih
- E. Speranza
- S. Stierli
- S.A. Teichmann
- T.Z. Veres
- M. Vierhout
- B.T. Wachter
- M. Williams
- N. Zangger
- R.N. Germain
- A.J. Radtke
Journal
- arXiv
Quellenangabe
- arXiv
Zusammenfassung
The iterative bleaching extends multiplexity (IBEX) Knowledge-Base is a central portal for researchers adopting IBEX and related 2D and 3D immunofluorescence imaging methods. The design of the Knowledge-Base is modeled after efforts in the open-source software community and includes three facets: a development platform (GitHub), static website, and service for data archiving. The Knowledge-Base facilitates the practice of open science throughout the research life cycle by providing validation data for recommended and non-recommended reagents, e.g., primary and secondary antibodies. In addition to reporting negative data, the Knowledge-Base empowers method adoption and evolution by providing a venue for sharing protocols, videos, datasets, software, and publications. A dedicated discussion forum fosters a sense of community among researchers while addressing questions not covered in published manuscripts. Together, scientists from around the world are advancing scientific discovery at a faster pace, reducing wasted time and effort, and instilling greater confidence in the resulting data.