Gastrointestinal motor functions are orchestrated by enteric neurons that display a high degree of anatomical and functional variability. Here, we present a protocol for AI-supported immunofluorescence colocalization analysis in human enteric neurons. We describe steps for human gastric tunica muscularis preparation, immunofluorescent labeling of enteric neurons, and quantification of marker colocalization using Nikon NIS-Elements. This protocol addresses the challenges presented by the high density of neurons within enteric ganglia, overlapping fluorescence signals, background fluorescence, and potential user bias in quantification. For complete details on the use and execution of this protocol, please refer to Gao et al.(1).
Protocol for AI-supported immunofluorescence colocalization analysis in human enteric neurons.
人工智能辅助的人类肠神经元免疫荧光共定位分析方案
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作者:Choi Egan L, Zhang Yuebo, Gao Fei, Huynh Nick M, Quiroz Alejandro Stark, Bharucha Adil E, Hayashi Yujiro, Ordog Tamas
| 期刊: | STAR Protocols | 影响因子: | 1.300 |
| 时间: | 2025 | 起止号: | 2025 Jun 20; 6(2):103828 |
| doi: | 10.1016/j.xpro.2025.103828 | 种属: | Human |
| 研究方向: | 人工智能 | ||
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