※ GFP-Atg8 Dataset Download

※ For training and testing DeepPhagy model for the prediction of autophagic phenotype, we manually labelled 216 images as a benchmark dataset, by judging whether GFP signals can be identified within the vacuole. The orignal images of benchmark data can be downloaded here. The manually labelled images of benchmark data can be downloaded here.

※ We conducted a time-course analysis of nitrogen starvation-induced autophagy in wild-type and knockout mutants of 35 AuTophaGy-related (ATG) genes in Saccharomyces cerevisiae using GFP-Atg8 as marker. Using the "DeepPhagy" program, we automatically analysed the 1,944 images. The orignal image data in TIF format can be downloaded here, and the DeepPhagy-labelled images can be downloaded here.

※ Atg1-GFP Dataset Download

※ For testing the performance of DeepPhagy for monitoring the targeting of Atg1-GFP to the vacuole, we manually labelled 48 images by judging whether GFP signals can be identified within the vacuole. The orignal images of Atg1-GFP test data can be downloaded here. The manually labelled images of Atg1-GFP test data can be downloaded here.

※ We conducted a time-course analysis of WT, atg13Δ, atg17Δ, atg19Δ, atg21Δ, atg23Δ, atg24Δ and atg26Δ using Atg1-GFP as marker upon nitrogen starvation-induced autophagy. Using the "DeepPhagy" program, we automatically analysed the 432 images. The orignal image data can be downloaded here, and the DeepPhagy-labelled images can be downloaded here.

※ GFP-Atg19 Dataset Download

※ For testing and re-training of DeepPhagy for monitoring the vacuolar delivery of GFP-Atg19, we manually labelled 48 images by judging whether GFP signals can be identified within the vacuole. The orignal images of GFP-Atg19 data can be downloaded here. The manually labelled images of GFP-Atg19 data can be downloaded here.

※ We conducted a time-course analysis of WT, atg1Δ, atg13Δ, atg17Δ, atg21Δ, atg23Δ, atg24Δ and atg26Δ using GFP-Atg19 as marker upon nitrogen starvation-induced autophagy. Using the "GFP-Atg19" program, we automatically analysed the 432 images. The orignal image data can be downloaded here, and the DeepPhagy-labelled images can be downloaded here.

※ Disintegration of autophagic bodies Dataset

※ For re-training of DeepPhagy for monitoring disintegration of autophagic bodies indicated by GFP-Atg8, we manually labelled 108 images of atg15Δ and atg22Δ mutants by judging whether GFP signals are accumulated or dispersed inside the vacuole. The orignal images can be downloaded here. The manually labelled images can be downloaded here.

※ We re-analysed 486 GFP-Atg8 images of the WT and 8 ATG KO strains including atg1Δ, atg15Δ, atg17Δ, atg19Δ, atg21Δ, atg22Δ, atg23Δ and atg26Δ. Using the "atg15/22Δ" program, we automatically analysed the 486 images. The orignal image data can be downloaded here, and the DeepPhagy-labelled images can be downloaded here.