Spheroid Imaging Device
Spheroid Imaging Device - Related Videos
08:39
High-throughput Image Analysis of Tumor Spheroids: A User-friendly Software Application to Measure the Size of Spheroids Automatically and Accurately
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Cited by 117 •
2014
We present a high-throughput image analysis software application to measure the size of three-dimensional tumor spheroids imaged with bright-field microscopy. This application provides a fast and effective way to examine the effects of therapeutic drugs on spheroids, which is beneficial for researchers who wish to use spheroids in drug screens.
08:27
Mechanical Mapping of Spheroids Using Brillouin Spectroscopy
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2025
This article describes a protocol for mechanical characterisation of living spheroids within a 3D matrix using Brillouin micro-spectroscopy. This all-optical method enables spheroid visualisation with microscale resolution and quantitative mechanical properties. This approach has implications for mechanical phenotyping; for instance, determining pathological states of tumor spheroids within a 3D microenvironment.
04:29
Immunofluorescent Staining of Spheroids: A Technique to Analyze Spheroids for Expression of Intra- and Extracellular Antigen Expression
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2023
This video describes the technique of immunofluorescent staining of spheroids to understand the differentiation of the fibroblasts or CAFs. This protocol helps detect expression of intra- and extracellular antigens, including deposition of ECM proteins within the spheroids.
10:44
Imaging- and Flow Cytometry-based Analysis of Cell Position and the Cell Cycle in 3D Melanoma Spheroids
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Cited by 57 •
2015
We describe two complementary methods using the fluorescence ubiquitination cell cycle indicator (FUCCI) and image analysis or flow cytometry to identify and isolate cells in the inner G1 arrested and outer proliferating regions of 3D spheroids.
06:39
Generation of Tissue Spheroids via a 3D Printed Stamp-Like Device
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Cited by 2 •
2022
The present protocol describes a technique to produce tissue spheroids on a large scale cost-effectively using a 3D printed stamp-like device.
FAQs
Controlled illumination provides consistent conditions for recording images, while image capture preserves visual information about spheroid size, shape, internal structure, and changes over time. These measurements allow researchers to compare aggregates across experimental conditions using observable features rather than relying only on endpoint observations. Consistency in imaging is therefore important when evaluating biological growth, organization, or treatment responses.
Fluorescent markers add information about specific cell states or viability that may not be apparent from overall spheroid appearance. The device records these fluorescence-associated signals alongside structural features, helping researchers relate internal or cellular characteristics to changes in aggregate growth and organization. This is especially useful when treatment effects involve cell status rather than size or shape alone.
Three-dimensional spheroids model tissue organization more realistically than many two-dimensional cultures, so imaging can capture features associated with aggregate structure rather than isolated cell layers. Measurements of shape and internal organization provide biological context that complements growth data. This makes the approach useful for examining how cells organize, differentiate, or respond within a tissue-like model.
Size, shape, internal structure, and their changes over time provide complementary indicators of spheroid behavior. Size can reflect growth, while shape and internal organization reveal changes in how cells arrange themselves. Time-based measurements show whether an observed effect develops progressively. Considering these features together supports more informative comparisons of differentiation, organization, and treatment responses.
A typical workflow begins by placing spheroid cultures under the device’s controlled illumination and recording images with the image-capture system. Researchers then examine structural features such as size, shape, and internal organization, adding fluorescent markers when cell state or viability must be assessed. Repeated imaging enables non-destructive monitoring and comparison across experimental conditions over time.
This approach is useful when researchers need to follow cell growth, differentiation, organization, or responses to treatments in a tissue-like model. Its non-destructive monitoring capability allows the same spheroids to be observed as they change, rather than assessing only a final endpoint. Researchers can therefore compare biological outcomes across conditions while retaining information about temporal progression.
Images provide a basis for comparing spheroid size, shape, internal structure, and time-dependent changes between treated and other experimental conditions. Fluorescent markers can extend the comparison to specific cell states or viability. Together, these outcomes help researchers determine how treatments influence tissue-like organization and cellular behavior, while consistent imaging supports clearer interpretation across the study.