Immunohistochemical Muscle Fibertyping
Define the Muscle Boundary
Irregular Region of Interest
At low magnification, the boundary of the muscle is traced using the irregular ROI (region of interest) tool. This allows BIOQUANT to analyze only myofibers within the boundary when working at higher magnification.
Automated Detection of Unlabeled Myofibers
Automated analysis of myofibers depends on a high-contrast label applied to the boundary of each myofiber. Generally this requires a label specific to dystrophin or laminin.
Automatic color thresholding uses this boundary stain to identify the myofibers. Manual editing with a brush and eraser makes it simple to correct mistakes.
Intelligent filters remove previously measured myofibers and myofibers that are not entirely visible within the field of view.
Measuring Unlabeled Myofibers
Click image to enlarge.
BIOQUANT simultaneously collects the following data from each myofiber:
Myofiber Cross-sectional Area
Myofiber Shortest Diameter
Myofiber Perimeter
Myofiber Location
Myofiber Circularity
Myofiber Fibertype
Number of Myofibers
Number of Central Nuclei per Myofiber
Automatic Detection of Labeled Myofibers
Automated analysis of myofibers depends on a high-contrast label applied to the boundary of each myofiber. Generally this requires a label specific to dystrophin or laminin.
In some cases, automatic color thresholding can use the labeling in the myofiber to identify the myofibers. Separation of clusters of myofibers can be labor intensive. Future work is planned to automate this task.
Intelligent filters remove previously measured myofibers and myofibers that are not entirely visible within the field of view.
Measuring Labeled Myofibers
Click to Enlarge Image
BIOQUANT simultaneously collects the following data from each myofiber:
Myofiber Cross-sectional Area
Myofiber Shortest Diameter
Myofiber Perimeter
Myofiber Location
Myofiber Circularity
Myofiber Fibertype
Number of Myofibers
Number of Central Nuclei per Myofiber
Subsequent Fields of View
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The Large Image Navigator in BIOQUANT makes it simple to move sequentially through a large section in consecutive, overlapping fields of view. BIOQUANT automatically tracks the boundary of the muscle and skips fields of view which are outside the muscle boundary.