3-Dimensional morphological characterization of neuroretinal microglia in Alzheimer's disease via machine learning.

The manually segmented method showed lower microglia counts in the AD retina (manual control: 242.4 ± 24.50 count/mm 2 (mean ± SEM); manual AD: 165.0 ± 3.633 count/mm 2 (mean ± SEM); p = 0.0095), whereas the machine learning segmented method showed a trend of decreased microglia count per mm 3 (machine control: 12,213 ± 1378 count/mm 3 (mean ± SEM); machine AD: 8441 ± 799.6 count/mm 3 (mean ± SEM); p = 0.0635).

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