3Di^™ Hybrid Open-Top Light-Sheet Microscope

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 dataset presents volumetric 3D imaging of rat toe pad skin, revealing cutaneous nerve architecture at the dermal–epidermal junction.

PGP9.5 highlights nerve fibers in white, while YO-PRO-1 labels nuclei in blue. The intact tissue volume preserves the continuity of larger nerve bundles, finer branches, fiber crossings, and terminal structures across tissue depth.

With appropriate segmentation, the dataset can support quantitative analysis of nerve density, fiber length, branching, orientation, and the distribution of nerve fibers relative to the epidermis and surrounding cells. These measurements are relevant to studies of cutaneous innervation, sensory biology, neuro-immune interactions, pain, itch, and disease-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 dataset presents mouse skin tissue imaged in 3D, with YO-PRO-1 labeling nuclei and PGP9.5 highlighting cutaneous nerve structures.

The volumetric view reveals larger nerve bundles within the dermis as they divide into progressively finer branches and projections across the imaged tissue volume. Preserving these structures in 3D makes it possible to follow nerve continuity, branching patterns, orientation, and relationships with surrounding cells and tissue compartments.

With appropriate segmentation, the dataset can support measurement of nerve density, fiber length, branching frequency, tortuosity, orientation, and regional variation. These features are relevant to research on cutaneous innervation, sensory biology, neuro-immune interactions, pain, itch, and changes associated with disease or treatment.

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

This dataset presents volumetric 3D imaging of mouse skeletal muscle stained with NF200, PGP9.5, and YO-PRO-1.

NF200, shown in green, highlights neurofilament heavy chain in larger-caliber axons and reveals major neural trajectories. PGP9.5, shown in magenta, visualizes the broader axonal network throughout the muscle. YO-PRO-1, shown in blue, labels nuclei and provides cellular context across the tissue volume.

The 3D view preserves axonal trajectories, branching patterns, and regional innervation across depth. With appropriate segmentation, the dataset can support measurements of axon length, branching complexity, regional nerve density, orientation, and spatial distribution.

Explore how 3D tissue imaging supports dermatology research across skin architecture, innervation, immune 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 high-resolution 3D imaging of an intact mouse colorectal tumor, preserving immune organization across the full tissue volume.

B220, shown in green, highlights B-cell-rich regions. CD3, shown in red, identifies T-cell populations, while nuclei are shown in blue to provide cellular and tissue context. Together, these markers reveal how immune cells are distributed, clustered, and spatially organized within the tumor.

The volumetric dataset preserves regional heterogeneity and relationships between B-cell-rich and T-cell-rich areas across depth. With appropriate segmentation, it can support quantitative analysis of immune-cell density, clustering, spatial distribution, and distances between immune populations and 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.