FACT measures fibril width distributions from negative-contrast SEM images of branched cellulose nanofibrils by combining ML segmentation with skeletonization; low-branching results match manual measurements, but heavily branched networks show substantial differences.
Open Physics 10(1):181-188
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Semi-automated image analysis of Cellulose Nanofibrils using Machine learning segmentation and Morphological thinning
FACT measures fibril width distributions from negative-contrast SEM images of branched cellulose nanofibrils by combining ML segmentation with skeletonization; low-branching results match manual measurements, but heavily branched networks show substantial differences.