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. 2026 Jan 23:14:RP105737.
doi: 10.7554/eLife.105737.

The IBEX knowledge-base a community resource enabling adoption and development of immunofluorescence imaging methods

Ziv Yaniv  1 Ifeanyichukwu U Anidi  2 Leanne Arakkal  3 Armando J Arroyo-Mejías  3 Rebecca T Beuschel  3 Katy Börner  4 Colin J Chu  5 Beatrice H Clark  3 Menna R Clatworthy  6 Jake Colautti  7 Fabian Coscia  8 Joshua Croteau  9 Saven Denha  7 Rose Dever  10 Walderez O Dutra  11 Sonja Fritzsche  8   12 Spencer Fullam  13 Michael Y Gerner  14 Anita Gola  15 Kenneth J Gollob  16 Jonathan M Hernandez  17 Jyh Liang Hor  3 Hiroshi Ichise  3 Zhixin Jing  3 Danny Jonigk  18   19 Evelyn Kandov  3 Wolfgang Kastenmüller  20 Joshua F E Koenig  7 Aanandita Kothurkar  5 Rosa K Kortekaas  21 Alexandra Y Kreins  22 Ian T Lamborn  3 Yuri Lin  17 Katia Luciano Pereira Morais  16 Aleksandra Lunich  2 Jean C S Luz  23 Ryan B MacDonald  5 Chen Makranz  24 Vivien I Maltez  25 John E McDonough  21 Ryan V Moriarty  26 Juan M Ocampo-Godinez  22   27 Vitoria Murakami Olyntho  7 Annette Oxenius  28 Kartika Padhan  3   29 Kirsten Remmert  17 Nathan Richoz  6 Edward C Schrom  3 Wanjing Shang  3 Lihong Shi  30 Rochelle M Shih  3 Emily Speranza  31 Salome Stierli  32 Sarah A Teichmann  33 Tibor Z Verse  3 Megan Vierhout  7   21 Brianna T Wachter  34 Adam K Wade-Vallance  3 Margaret Williams  2 Nathan Zangger  28 Ronald N Germain  3   29 Andrea J Radtke  3   29   35
Affiliations

The IBEX knowledge-base a community resource enabling adoption and development of immunofluorescence imaging methods

Ziv Yaniv et al. Elife. .

Abstract

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, such as 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.

Keywords: cell biology; human; mouse; multiplexed optical imaging; open science; reagent validation; rhesus macaque; spatial biology; xenopus; zebrafish.

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Conflict of interest statement

ZY, IA, LA, AA, RB, KB, CC, BC, MC, JC, FC, SD, RD, WD, SF, SF, MG, AG, KG, JH, JH, HI, ZJ, DJ, EK, WK, JK, AK, RK, AK, IL, YL, KL, AL, JL, RM, CM, VM, JM, RM, JO, VM, AO, KP, KR, NR, ES, WS, LS, RS, ES, SS, TV, MV, BW, AW, MW, NZ, RG No competing interests declared, JC JC is an employee and stakeholder of BioLegend (revvity inc). The author has no other competing interests to declare, ST SAT is a remunerated Scientific Advisory Board member of BioOptimus, Foresite Labs, Xaira Therapeutics, and a consultant and equity holder of TransitionBio and EnsoCell, and a non-executive board director of 10x Genomics, as well as part-time employee of GlaxoSmithKline, AR AJR is an employee of Leica Microsystems. The author has no other competing interests to declare

Figures

Figure 1.
Figure 1.. Schematic overview of IBEX KB design and contents.
The IBEX KB enables open exploration of reagents, protocols, datasets, and advice related to multiplexed imaging from members of the global scientific community. The overall design consists of three facets: a GitHub source repository (purple mountain), a static website (green mountain), and a Zenodo data repository hosting citable archival versions of the data (blue mountain). Every addition to the KB initiates an update to the IBEX Imaging Community Website outlined in steps 1–4. In contrast, updates to the authoritative version on Zenodo are initiated by community members when a significant update to the state of knowledge justifies a new release.
Figure 2.
Figure 2.. Computational workflow for static website generation.
Data displayed on the static website is generated from human and machine-readable comma-separated value (csv), bibliography database (bib), jpg images, and markdown template (M down arrow) files. Following a new submission, custom Python scripts expand the template markdown files to include the new data. Existing data (unprocessed markdown files) remain unchanged. The website is automatically generated via Python scripts utilizing the GitHub continuous integration compute infrastructure and static website creation services (Jekyll).
Figure 3.
Figure 3.. The IBEX KB provides several ways to contribute and use data.
Summary of supported data types and ways to contribute or use the KB. Crown icon indicates contributions that result in authorship on the Zenodo archival versions.
Figure 4.
Figure 4.. Guidelines for contributing data and flow chart detailing how to add a reagent contribution.
(A) Details for contributing data to the IBEX KB. Files that need to be modified are highlighted in blue with data file name bolded. (B) Flow chart demonstrating how to add a reagent contribution. Files that need to be modified are highlighted in green with data file name bolded.

Update of

  • The IBEX Imaging Knowledge-Base: A Community Resource Enabling Adoption and Development of Immunofluoresence Imaging Methods.
    Yaniv Z, Anidi IU, Arakkal L, Arroyo-Mejías AJ, Beuschel RT, Börner K, Chu CJ, Clark B, Clatworthy MR, Colautti J, Coscia F, Croteau J, Denha S, Dever R, Dutra WO, Fritzsche S, Fullam S, Gerner MY, Gola A, Gollob KJ, Hernandez JM, Hor JL, Ichise H, Jing Z, Jonigk D, Kandov E, Kastenmüller W, Koenig JFE, Kothurkar A, Kortekaas RK, Kreins AY, Lamborn IT, Lin Y, Morais KLP, Lunich A, Luz JCS, MacDonald RB, Makranz C, Maltez VI, McDonough JE, Moriarty RV, Ocampo-Godinez JM, Olyntho VM, Oxenius A, Padhan K, Remmert K, Richoz N, Schrom EC, Shang W, Shi L, Shih RM, Speranza E, Stierli S, Teichmann SA, Veres TZ, Vierhout M, Wachter BT, Williams M, Zangger N, Germain RN, Radtke AJ. Yaniv Z, et al. ArXiv [Preprint]. 2024 Dec 17:arXiv:2412.12965v1. ArXiv. 2024. Update in: Elife. 2026 Jan 23;14:RP105737. doi: 10.7554/eLife.105737. PMID: 39764400 Free PMC article. Updated. Preprint.

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