High-content Imaging and Analysis

High-content imaging and analysis (HCIA) enables researchers to gain a more comprehensive understanding of cellular behavior and biological processes and to obtain more accurate results in drug development and basic science research. Creative Biolabs can support customers' research needs in HCIA through a professional team and advanced technology.

What is High Content Imaging and Analysis?

HCIA is a technique that combines high-resolution microscopy imaging and computer analysis to acquire and analyze large amounts of image data of cells and biological samples.

Fig.1 Immunofluorescent staining images of tonsillar epithelial organoids infected with different virus titers.¹

Where are the Advantages of High-content Imaging and Analysis (HCIA)?

Multi-parameter	High-throughput and automated
Compared with traditional imaging methods, quantitative information of multiple cell biological characteristics can be obtained simultaneously through HCIA, including cell morphology, protein localization and expression levels, cell proliferation, cell death, etc. This allows researchers to gain a comprehensive understanding of cell behavior and biological processes, as well as the effects of drugs on cells.	High-throughput (various 6-1536 multi-well plates or custom micro-well plates) and automated experiments are realized through HCIA technologies. Through the automated image acquisition and analysis process, a large amount of data can be quickly obtained, and efficient experimental operations can be achieved. This is important for large-scale cell research and drug screening.
Quantitative and objective	Image interpretation
HCIA provides quantitative measurement results, which are more objective and reliable than traditional subjective analysis. Through computer analysis, images can be precisely segmented and feature extracted, allowing accurate quantitative analysis of cellular characteristics and biological processes.	The large amount of image data generated by HCIA techniques require professional interpretation and analysis. Through advanced computer algorithms and data analysis tools, image data can be statistically analyzed and visualized to obtain quantitative results on cellular behavior and disease mechanisms.

What are the Applications of HCIA?

Cell biology research

HCIA can be used to study cell morphology, function, dynamics, and interactions, helping to analyze cell behavior and disease mechanisms.

Drug screening

HCIA can be used for the screening and evaluation of drug candidates, including evaluating the effects of drugs on cell proliferation, apoptosis, toxicity, and other aspects.

Gene function research

HCIA can be used in experiments such as gene knockout or overexpression to evaluate the impact of target genes on cell behavior and biological processes.

Cell therapy evaluation

HCIA can be used to evaluate the efficacy and safety of cell therapy products, including the analysis of cell survival rate, degree of differentiation, functional expression, and other aspects after cell transplantation.

Disease research

HCIA can be used to study the characteristics and changes of cells under different physiological or disease models, including 3D spheroid model, organ-on-a-chip model, 3D ex vivo human tissue model, precision-cut tissue slice model, which is helpful for the in-depth understanding of the mechanism of disease occurrence and development, as well as the search for potential therapeutic targets.

High Content Imaging and Analysis Service Process in Creative Biolabs

Project discussion and design

Model cnstructing and processing

Hight-content imaging

Image processing and analysis

Data analysis and interpretation

Report writing and discussion

Data delivery

Throughout the process, Creative Biolabs' scientific team will maintain close communication and cooperation with customers, and provide high-quality HCIA services according to customer needs and experimental design. If you need to improve research efficiency and reliability, please contact us.

Reference

Kim, HK.; et al. Generation of human tonsil epithelial organoids as an ex vivo model for SARS-CoV-2 infection. Biomaterials. 2022, 283:121460.

Research Model

3D Biology Based Biomarker Discovery

3D Biology Based Drug Discovery and Development

3D Biology Based Toxicity Evaluation

Supporting Assays

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Research Model

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