کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6196249 1602575 2016 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An open-source computational tool to automatically quantify immunolabeled retinal ganglion cells
ترجمه فارسی عنوان
یک ابزار محاسباتی منبع باز به صورت خودکار مقدار سلول های گانگلیونی شبکیه ایمن شناسایی شده است
موضوعات مرتبط
علوم زیستی و بیوفناوری ایمنی شناسی و میکروب شناسی ایمونولوژی و میکروب شناسی (عمومی)
چکیده انگلیسی

A fully automated and robust method was developed to quantify β-III-tubulin-stained retinal ganglion cells, combining computational recognition of individual cells by CellProfiler and a machine-learning tool to teach phenotypic classification of the retinal ganglion cells by CellProfiler Analyst. In animal models of glaucoma, quantification of immunolabeled retinal ganglion cells is currently performed manually and remains time-consuming. Using this automated method, quantifications of retinal ganglion cell images were accelerated tenfold: 1800 images were counted in 3 h using our automated method, while manual counting of the same images took 72 h. This new method was validated in an established murine model of microbead-induced optic neuropathy. The use of the publicly available software and the method's user-friendly design allows this technique to be easily implemented in any laboratory.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Experimental Eye Research - Volume 147, June 2016, Pages 50-56
نویسندگان
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