Cellomics Cx7
Cellomics Cx7 - Related Videos
07:06
Chronic Social Defeat Stress in Early Adolescent Male Mice
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Cited by 3 •
2025
This protocol details how to perform 10 day chronic social defeat stress in early adolescent male mice to produce long-lasting social avoidance in adulthood in more than 60% of mice.
03:59
Orthotopic Homograft Tumor Transplantation: A Technique to Generate Pancreatic Tumor Mouse Models
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2023
The video explains a stepwise surgical method for orthotopic implantation of a tumor fragment from a cancerous donor to the pancreas of a non-cancerous recipient mice for development of pancreatic cancer. Orthotopically implanted PDAC could recapture the tissue microenvironment of human pancreatic cancers than conventional subcutaneous (SC) models more accurately.
05:23
Investigating Migraine-Like Behavior Using Light Aversion in Mice
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Cited by 19 •
2021
Rodents are not able to report migraine symptoms. Here, we describe a manageable test paradigm (light/dark and open field assays) to measure light aversion, one of the most common and bothersome symptoms in patients with migraines.
06:15
A Multiple Integrated Social Stress Model for Psychiatric Disorders in Female C57BL/6J Mice
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2025
By integrating four daily social stressors, the present study describes a multiple integrated social stress (MISS) model for psychiatric disorders in female C57BL/6J mice. After ten days of repeated MISS exposure, the mice developed depressive- and anxiety-like phenotypes, thus providing a natural, etiology-based animal model for studying psychiatric disorders in female subjects.
07:09
Isolation of Murine Adipose Tissue-derived Microvascular Fragments as Vascularization Units for Tissue Engineering
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Cited by 59 •
2017
We present a protocol to isolate adipose tissue-derived microvascular fragments that represent promising vascularization units. They can be rapidly isolated, do not require in vitro processing and, thus, may be used for one-step prevascularization in different fields of tissue engineering.
FAQs
Computational segmentation identifies relevant cell or tissue regions within captured images so that measurements can be assigned to defined biological structures rather than treated as undifferentiated image content. This supports quantitative assessment of features such as morphology, fluorescence intensity, and subcellular localization, helping convert complex visual responses into comparable numerical results.
Brightfield and fluorescence provide complementary ways to capture cellular or tissue responses across multiwell samples. The selected imaging mode supplies the visual information used for downstream quantitative analysis, while combining measurable image features can support broader phenotypic characterization. This flexibility is useful when bioengineering assays evaluate different aspects of cell behavior.
A single measurement may not represent the full response of cells exposed to a biomaterial, engineered microenvironment, drug, or tissue model. Assessing morphology, intensity, and subcellular localization together provides a more detailed phenotypic profile. These multidimensional measurements can reveal differences between experimental conditions and support more informed comparisons during bioengineering studies.
The platform captures images and applies quantitative analysis across multiwell samples, creating a standardized basis for comparing cellular responses. Numerical outputs reduce reliance on purely visual judgment and make differences easier to evaluate across conditions. In bioengineering, this consistency can strengthen design decisions involving materials, microenvironments, drug responses, or tissue-model performance.
A typical workflow begins with prepared cells or tissue samples distributed across multiwell formats. The system captures brightfield or fluorescence images, applies computational segmentation, and quantifies selected phenotypic features. Researchers can then compare numerical measurements across wells or experimental conditions, using the resulting data to evaluate cellular responses in a standardized assay format.
Researchers can use the platform when they need to compare how biomaterials or engineered microenvironments influence cell behavior across multiple conditions. Imaging-based measurements provide quantitative information on morphology, intensity, and localization rather than relying only on qualitative inspection. This supports screening and comparison of design variations within cell-based bioengineering assays.
For engineered tissue models, the platform can measure image-derived phenotypic features across samples and convert cellular responses into numerical data. These measurements help compare model conditions and assess how cells respond within designed systems. The resulting quantitative evidence can guide bioengineering decisions about model performance and support more reproducible evaluation of tissue-model experiments.