
This dataset contains a Nikon GA3 analysis recipe designed for automated segmentation and quantification of immunofluorescence images of human enteric neurons. Utilizing Nikon's NIS-Elements software with AI-powered image processing, the recipe enables accurate fluorescence intensity quantification and neuron volume segmentation. The workflow minimizes manual bias, enhances reproducibility, and provides quantitative insights into neuronal marker colocalization. This tool is particularly useful for researchers studying enteric nervous system structure and function in health and disease.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
