کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1588735 1515134 2016 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Quantitative characterization and comparative study of feather melanosome internal morphology using surface analysis
ترجمه فارسی عنوان
خصوصیات کمی و مطالعه تطبیقی ​​مورفولوژی داخلی ملانوسوم پشم با استفاده از تحلیل سطح
کلمات کلیدی
میکروسکوپ الکترونی انتقال، تجزیه و تحلیل سطح، مرفولوژی، ملانوسوم، طوفان دریایی، توسعه قلم
موضوعات مرتبط
مهندسی و علوم پایه مهندسی مواد دانش مواد (عمومی)
چکیده انگلیسی


• STEM image with SE signal is a good source for morphological data on organelles.
• Surface analysis of STEM/SE image allowed quantified comparison between melanosomes.
• Outgrowth melanosome was significantly different to cortex melanosome.
• Cortex outgrowth and modified melanosome could indicate reaction to early infection.

A successful feather development implies in a precise orchestration of cells in the follicle, which culminates in one of the most complex epidermal structures in nature. Melanocytes contribute to the final structure by delivering melanosomes to the barb and barbule cells. Disturbance to the tissue during the feather growth can damage the final structure. Here, melanosomes seen in an unusual outgrowth on the barb cortex of a flight feather are reported and compared to commonly observed melanosomes embedded in the cortex. Transmission Electron Microscopy in scanning-transmission mode (STEM) generated images coupled with secondary electron detection. The two classes of melanosomes were registered on images combining transmitted and secondary electron signals. Image processing allowed surface analyses of roughness and texture of the internal morphology of these organelles. Results showed that the two classes of melanosomes are significantly distinct internally, indicating that different physiological processes up to feather maturation could have occurred. Surface analysis methods are not regularly used in cell biology studies, but here it is shown that it has great potential for microscopic image analysis, which could add robust information to studies of cell biology events.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Micron - Volume 82, March 2016, Pages 17–24
نویسندگان
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