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AFid: A tool for automated identification and exclusion of autofluorescent objects from microscopy images.
Bioinformatics ( IF 4.4 ) Pub Date : 2020-09-15 , DOI: 10.1093/bioinformatics/btaa780
Heeva Baharlou 1, 2 , Nicolas P Canete 1, 2 , Kirstie M Bertram 1, 2 , Kerrie J Sandgren 1, 2 , Anthony L Cunningham 1, 2 , Andrew N Harman 1, 2 , Ellis Patrick 1, 3
Affiliation  

Autofluorescence is a long-standing problem that has hindered the analysis of images of tissues acquired by fluorescence microscopy. Current approaches to mitigate autofluorescence in tissue are lab-based and involve either chemical treatment of sections or specialized instrumentation and software to ‘unmix’ autofluorescent signals. Importantly, these approaches are pre-emptive and there are currently no methods to deal with autofluorescence in acquired fluorescence microscopy images.

中文翻译:

AFid:一种自动识别和从显微镜图像中排除自发荧光物体的工具。

自体荧光是一个长期存在的问题,它阻碍了对通过荧光显微镜获得的组织图像进行分析。当前减轻组织中自体荧光的方法是基于实验室的,涉及对切片进行化学处理或专门的仪器和软件来“分解”自体荧光信号。重要的是,这些方法是先发制人的,并且目前还没有方法在采集的荧光显微镜图像中处理自发荧光。
更新日期:2020-09-16
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