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The ability to gain quantifiable, single-cell data from time-lapse microscopy images is dependent upon cell segmentation and tracking. Here, we present a detailed protocol for obtaining quality time-lapse movies and… Click to show full abstract
The ability to gain quantifiable, single-cell data from time-lapse microscopy images is dependent upon cell segmentation and tracking. Here, we present a detailed protocol for obtaining quality time-lapse movies and introduce a method to identify (segment) and track cells based on machine learning techniques (Fiji's Trainable Weka Segmentation) and custom, open-source Python scripts. To provide a hands-on experience, we provide datasets obtained using the aforementioned protocol.
Keywords:
machine learning;
based machine;
segmentation;
cell segmentation;
segmentation tracking;
cell
Journal Title: Methods in molecular biology
Year Published: 2019
Link to full text (if available)
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Journal Title: Methods in molecular biology
Year Published: 2019
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!