2002
DOI: 10.1046/j.1529-8027.2002.02026_21.x
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Automated And Representative Fascicle Selection For Computer‐Assisted Morphometry Of Myelinated Nerve Fibres In Peripheral Nerves

Abstract: We describe an algorithm that permits representative fascicle selection for sample acquisition from the entire cross‐section of a nerve. We calculate the number of fascicles necessary for the acquisition of a given sample volume of nerve fibres from the image magnification, determine the scheme of intrafascicular sampling, and measure the (estimated) nerve fibre density. We start by storing the positions of all fascicles as coordinates of the microscope motor stage. We then recruit the needed fascicles from th… Show more

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“…The available methods included manual, semi-automatic, and automatic methods. Authors often describe the manual method as time-consuming and the automatic method as too inaccurate [40][41][42]. In our study, we used a semi-automatic method, which influenced the subsequent stages of assessment, especially in the preparation of the image for calculations, where they were modified according to the nature of the image [39,40,43].…”
Section: Histomorphometric Evaluationmentioning
confidence: 99%
“…The available methods included manual, semi-automatic, and automatic methods. Authors often describe the manual method as time-consuming and the automatic method as too inaccurate [40][41][42]. In our study, we used a semi-automatic method, which influenced the subsequent stages of assessment, especially in the preparation of the image for calculations, where they were modified according to the nature of the image [39,40,43].…”
Section: Histomorphometric Evaluationmentioning
confidence: 99%