ArticleBio-protocol2026
3D Iterative Immunofluorescence Imaging on Whole-Mount Samples.
Article in Bio-protocol, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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4 authors.
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Abstract
Multicellular organization relies on reciprocal interactions between molecular events, such as gene expression and protein state, and higher-scale properties, such as spatial patterning and tissue architecture. Understanding these processes requires methods that enable quantitative measurements at subcellular resolution, while maintaining the three-dimensional tissue organization. Conventional immunofluorescence imaging captures spatial information but is limited to the number of fluorescence markers that can be imaged simultaneously, whereas dissociation-based single-cell approaches can profile multimodal cellular states but lack positional information. Here, we describe 3D in toto iterative immunofluorescence imaging, termed 3D-4i, which enables up to ten-plex protein and protein state measurements in early zebrafish embryos. Leveraging sample immobilization on 96-well plates together with a gentle liquid handling system and high-content spinning disc confocal microscopy, this method comprises repeated rounds of antibody staining, optical clearing, confocal imaging, and antibody elution. Subsequent image analysis allows segmentation of nuclei and cells, extraction of quantitative single-cell features, and integration of molecular measurements with spatial context. Altogether, 3D-4i provides a scalable platform for investigating diverse biological processes in intact embryos, while maintaining both subcellular resolution and three-dimensional context. Key features • Enables volumetric, single-cell multiplexed protein imaging in intact early zebrafish embryos using iterative immunofluorescence imaging. • Compatible with automated liquid-handling and high-throughput spinning disc confocal microscopy. • Supports quantitative analysis of diverse biological processes at single-cell resolution.
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