Extended Data Fig. 10: High throughput automated quantification of axonal spheroids, axons and amyloid plaques in human iPSC-derived AD model. | Nature Aging

Extended Data Fig. 10: High throughput automated quantification of axonal spheroids, axons and amyloid plaques in human iPSC-derived AD model.

From: Subcellular proteomics and iPSC modeling uncover reversible mechanisms of axonal pathology in Alzheimer’s disease

Extended Data Fig. 10

A. Schematic showing the workflow of immunofluorescence labeling of axonal spheroids, axons and amyloid plaques in human iPSC-derived AD model, followed by confocal imaging and machine learning-based image analysis and quantification. B-C. Zoom in (B) and zoom out (C) images of immunofluorescence confocal imaging showing SMI312 antibody labeled axonal spheroids and axons (white), ThioflavinS labeled amyloid plaque (blue). Objects of axonal spheroids (red), axons (yellow) and amyloid plaques (purple) were generated according to the raw images after image annotation and analysis. Scale bars = 100 μm. D-E. Quantification showing (D) axon and (E) amyloid plaque volume (related to the experiment in Figs. 6q and 6r). Mann Whitney test (two-tailed) was used for all the statistical analysis. Data are presented as mean values +/- SEM.

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