See tissue biology in its full 3D context.

This video presents a volumetric visualization of human duodenum tissue stained with eosin and the nuclear marker TO-PRO-3, then pseudocolored to create an H&E-like appearance.

3D tissue imaging reveals intestinal villi as continuous structures across the imaged volume, preserving information about their morphology, orientation, spacing, density, and regional organization. Viewing villi across depth also reduces the influence of sectioning angle and sampling location that can affect measurements from individual 2D sections.

With appropriate segmentation, the dataset can support quantitative analysis of villus number, height, width, volume, elongation, spacing, density, and variation across tissue regions.

These measurements are relevant to gastrointestinal research, including studies of celiac disease, where villous architecture may become shortened, flattened, fused, or otherwise disrupted. Quantifying these changes across a tissue volume could help characterize the distribution and heterogeneity of structural alterations.

The tissue was imaged on the Aurora 3D™ platform using the 3Di™ Hybrid Open-Top Light-Sheet (HOTLS) microscope.

This video presents a volumetric view of human placental tissue, with PD-L1 signal shown in cyan across the imaged tissue architecture.

PD-L1 is an immune-regulatory protein expressed in placental tissue and is relevant to research on trophoblast biology and the maternal-fetal interface. Viewing the signal in 3D preserves its distribution across depth and provides spatial context that cannot be captured from a single tissue section.

The volumetric dataset can support analysis of PD-L1-positive regions, signal distribution, tissue coverage, and spatial relationships with additional cellular or structural markers when included in a multiplex panel.

The tissue was imaged using the Aurora 3D™ Spatial Biology Solution, including the 3Di™ Hybrid Open-Top Light-Sheet microscope.

This dataset presents mouse skin tissue imaged in 3D using fluorescence labeling. PGP9.5 highlights the broader nerve network, YO-PRO-1 labels nuclei, and Nav1.8-associated signal identifies a subset of sensory neurons.

The volumetric view preserves the continuity of nerve fibers across the imaged tissue depth, revealing large nerve bundles, finer branches, crossings, and terminal structures within dermal and epidermal regions.

With appropriate segmentation, the dataset can support measurement of nerve density, fiber length, branching, orientation, and spatial relationships with surrounding cells and tissue structures. These features are relevant to research on cutaneous innervation, sensory biology, pain, itch, inflammation, and treatment-associated changes in nerve architecture.

The tissue was imaged using the Aurora 3D™ Spatial Biology Solution, including the 3Di™ Hybrid Open-Top Light-Sheet microscope.

This video presents expanded 3D imaging of mouse kidney tissue, revealing glomerular, basement membrane, and extracellular matrix architecture across an intact tissue volume.

Nuclei are shown in white. Collagen IV, shown in blue, highlights basement membrane structures. WGA lectin, shown in magenta, labels glycoprotein-rich tissue features, while podocalyxin, shown in green, highlights podocyte-associated structures within the glomeruli.

Expansion microscopy physically enlarges the specimen, increasing the separation between fluorescently labeled structures while preserving their relative spatial organization. Traversing the expanded volume reveals the three-dimensional relationships among glomeruli, basement membranes, and surrounding renal tissue that can appear fragmented in individual 2D sections.

The dataset can support analysis of glomerular morphology, basement membrane organization, spatial distribution, and structural variation across the imaged kidney volume.

This work was performed in collaboration with Joshua Vaughan and the University of Washington Department of Chemistry.

The tissue was imaged using the Aurora 3D™ Spatial Biology Solution, including the 3Di™ Hybrid Open-Top Light-Sheet microscope.

This video presents high-resolution 3D imaging of an intact mouse colorectal tumor, revealing TLS-associated immune organization across the tissue volume.

B220, shown in green, highlights B-cell-rich regions. CD3, shown in magenta, identifies T-cell-rich regions, while nuclei are shown in blue to provide cellular and tissue context. Together, these markers reveal the spatial arrangement of B- and T-cell populations within organized immune aggregates.

The workflow begins with volumetric screening of the cleared tumor to identify regions containing dense B220 and CD3 signal. Selected regions are then imaged at higher resolution, preserving their position within the surrounding tumor while revealing cellular organization in greater detail.

With appropriate segmentation and validated TLS criteria, the dataset can support analysis of aggregate numbers, volume, distribution, cellular organization, and spatial relationships with surrounding tumor regions.

Explore how 3D tissue imaging supports immuno-oncology research across tumor architecture, immune-cell organization, and spatial relationships.

The tissue was imaged using the Aurora 3D™ Spatial Biology Solution, including the 3Di™ Hybrid Open-Top Light-Sheet microscope.

This video presents 3D tissue imaging of an intact mouse colorectal tumor using light-sheet fluorescence microscopy.

B220, shown in green, highlights B-cell populations, while CD3, shown in magenta, identifies T-cell populations. Individual labeled cells can be resolved while their positions remain connected to the surrounding tumor architecture.

The volumetric view reveals differences in immune cell density, clustering, and spatial distribution throughout the tumor. Unlike measurements based on selected tissue sections, imaging the intact volume preserves immune organization across depth and supports analysis from cellular detail to tissue-scale patterns.

With appropriate segmentation, the dataset can support quantitative analysis of B220-positive and CD3-positive cell densities, clustering, regional distributions, and spatial relationships among immune populations. Organized immune aggregates can also be located for further characterization using additional markers and validated tertiary lymphoid structure criteria.

Explore how 3D tissue imaging supports immuno-oncology research across tumor architecture, immune-cell organization, and spatial relationships.

The tissue was imaged using the Aurora 3D™ Spatial Biology Solution, including the 3Di™ Hybrid Open-Top Light-Sheet microscope.