Journal of neuroscience methods · 2014
Modification of commercially available image analysis software for semi-automated qualitative analysis of axon regeneration and myelination in the rat sciatic nerve.
СтатьяПоддержка NIH: внешняя программаПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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Isaacs Jonathan, Mallu Satya, Batchelor Matthew
Аннотация
BACKGROUND: Manual measurement of three routine parameters of axon regeneration and myelination, such as axon counts, axon caliber and G-Ratio, is tedious and time consuming. An automated or semi-automated computer program could improve the efficiency of this process. The concern, however, is that the automated method will lack the accuracy of manual counting and measuring.
METHOD: We introduce semi-automated axon analysis software utilizing customized Image Pro Plus software designed to identify, count, and measure axons and their surrounding myelin sheaths. Histologic specimens were subsequently analyzed using either conventional manual techniques (manual counting and computer assisted measurements) or this semi-automated software (software performed counting and measurements with human supervision and adjustment of axon identification).
RESULTS: G-Ratios, axon numbers, and axon diameter values did not differ between the two methods though the semi-automated method took approximately 50% less time.
COMPARISON WITH EXISTING METHODS: Other described semi-automated nerve analysis tools require complex, original software development.
CONCLUSIONS: Commercially available software can be modified to improve nerve histomorphology analysis time while maintaining accuracy.
METHOD: We introduce semi-automated axon analysis software utilizing customized Image Pro Plus software designed to identify, count, and measure axons and their surrounding myelin sheaths. Histologic specimens were subsequently analyzed using either conventional manual techniques (manual counting and computer assisted measurements) or this semi-automated software (software performed counting and measurements with human supervision and adjustment of axon identification).
RESULTS: G-Ratios, axon numbers, and axon diameter values did not differ between the two methods though the semi-automated method took approximately 50% less time.
COMPARISON WITH EXISTING METHODS: Other described semi-automated nerve analysis tools require complex, original software development.
CONCLUSIONS: Commercially available software can be modified to improve nerve histomorphology analysis time while maintaining accuracy.