Local Means Thresholding Algorithm shows high robustness.

<p>(A) Example straightened crops of 63X confocal images from the Overexpressed Synaptic Fluorophore Dataset showing CLA-1::GFP-labeled presynapses in the DA9 neurons of control worms and worms with of two different mutant alleles that show severe [syd-1(-)] or mild [nrx-1(-)] loss of puncta....

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Araven Tiroumalechetty (17827252) (author)
مؤلفون آخرون:	Elisa B. Frankel (1866058) (author), Peri T. Kurshan (17827258) (author)
منشور في:	2025
الموضوعات:	Biochemistry Cell Biology Biological Sciences not elsewhere classified Information Systems not elsewhere classified image analysis workflow image analysis pipelines puncta often suffer 2d fluorescent puncta div >< p automated unbiased detection fluorescent puncta unbiased detection often hampered accurate analysis widespread adoption visualization options synapses residing specific samples restriction parameters provides robust originally developed nerve cords ideal metric fluorescence imaging existing methods enabling users elegans </ data acquisition critical tasks correlation metrics code approach characterize images channel images
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Local Means Thresholding Algorithm shows high robustness.

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