Application Note: High-content imaging for morphological profiling of 3D breast acini
11 April 2023
With
the development of quantitative tools for
image analysis and classification, diagnostic
accuracy of breast cancer is significantly increasing.
High-content imaging (HCI) represents
a powerful image-based paradigm to
extract high-content data from biological
images. This imaging system consists of
acquisition, processing and analysis steps
used to dramatically increase imaging
throughput and quantification; each step
is highly computer-driven, allowing users to
accelerate repetitive operations and reduce
human intervention and bias.
In this application note, CrestOptics presents a method for
automated imaging and analysis of breast
cancer in three-dimensional (3D) epithelial
breast cell cultures. In
particular, it developed an image analysis
framework for the automated imaging of
in vitro 3D breast epithelial acini through
the characterization of acinar structure
morphology.
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