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Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics

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La base de conocimientos IBEX: un recurso comunitario que permite la adopción y el desarrollo de métodos de

Ziv Yaniv¹, Ifeanyichukwu U Anidi², Leanne Arakkal³

¹Bioinformatics and Computational Bioscience Branch, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, United States.

|January 23, 2026

Resumen

La base de conocimientos de blanqueo iterativo que extiende la multiplexación (IBEX) ofrece una plataforma central para los investigadores que utilizan IBEX y la imagenología por inmunofluorescencia. Promueve la ciencia abierta compartiendo datos, protocolos y fomentando la discusión comunitaria para un descubrimiento científico más rápido y confiable.

Área de la Ciencia:

Biotecnología
Microscopía
Ciencia Abierta

Sus antecedentes:

El blanqueo iterativo que extiende la multiplexación (IBEX) es un método clave en la imagenología de inmunofluorescencia 2D y 3D.
Los investigadores requieren recursos centralizados para adoptar y avanzar en técnicas de imagenología complejas.

Objetivo del estudio:

Establecer una Base de Conocimientos integral para IBEX y métodos relacionados de inmunofluorescencia.
Facilitar las prácticas de ciencia abierta y la colaboración comunitaria entre investigadores.

Principales métodos:

Se desarrolló una Base de Conocimientos modelada según los principios del software de código abierto.
Se integró una plataforma de desarrollo (GitHub), un sitio web estático y un servicio de archivo de datos.
Se proporcionaron datos de validación para reactivos, protocolos, videos, conjuntos de datos, software y publicaciones.

Principales resultados:

Se estableció un portal central para los usuarios del método IBEX.
Permitió compartir datos de validación positivos y negativos para reactivos, incluidos anticuerpos.
Se creó un foro para la discusión comunitaria y preguntas y respuestas.

Conclusiones:

La Base de Conocimientos IBEX acelera el descubrimiento científico al promover la adopción y evolución de métodos.
La mejora de la colaboración y el intercambio de datos reduce el desperdicio de investigación y aumenta la confianza en los resultados.
Fomentó una comunidad global de investigadores que avanzan en la imagenología por inmunofluorescencia.

Palabras clave:

biología celular humano ratón imagenología óptica multiplexada ciencia abierta validación de reactivos macaco Rhesus biología espacial Xenopus cebra peces

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