neurite outgrowth

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Generate application-specific, high-content imaging and analysis

Generate application-specific, high-content imaging and analysis

Because high-content imaging captures a large number of images, it can be a time-consuming task that requires a large volume of storage space and specialized software to analyze the data. While a fast camera and an efficient imaging system can streamline image acquisition, the analysis and data handling of these images can create a bottleneck in your research protocols. To address these challenges, modern imagers mitigate the complexity of high-content imaging with intuitive, guided workflows and provides on-the-fly image analysis based on your assay needs.

In this eBook, we bring you four useful case studies where different image analysis protocols were used and one case study where data was transferred to IN Carta® Image Analysis Software for image analysis using deep learning.

Sample pages

Identify compound-specific effects on neurite outgrowth

Identify compound-specific effects on neurite outgrowth

Analysis of apoptosis using automated cell imaging

Analysis of apoptosis using automated cell imaging

Count cells with or without fluorescent labels using automated imaging

Count cells with or without fluorescent labels using automated imaging

Improve nuclear translocation assay results using image deconvolution

Improve nuclear translocation assay results using image deconvolution

AI enabled phenotypic analysis of label-free intestinal organoids

AI enabled phenotypic analysis of label-free intestinal organoids

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