Journal: GeroScience

Article Title: Ellagic acid prolongs the lifespan of Drosophila melanogaster

doi: 10.1007/s11357-019-00135-6

Figure Lengend Snippet: a Structure of ellagic acid. Molecular formula C14H6O8. Molecular weight 302.19 g/mol. Effect of ellagic acid on various physiological parameters in flies. b Effect of ellagic acid on body weight of wild-type Canton-S flies. Data represented as body weight (mg/10 flies). Data were subjected to two-way ANOVA followed by Bonferroni’s multiple comparisons test in the GraphPad Prism software v.6. Error bars denote standard deviation. Symbols represented as *p < 0.05 and ****p < 0.0001. Twenty vials containing 10 flies/vial were counted for each control, and treatment with EA 100 μM and EA 200 μM. The total number of flies used was 1200. c Effects of ellagic acid on fly longevity. Ten vials containing 30 flies/vial were monitored for lifespan. The total number of flies used was 1800. Mean lifespan was calculated by the Kaplan–Meier lifespan analysis in the OASIS2 software. Mean values of individual replicate of the control, and two treatments of male and female flies were fed into the GraphPad Prism v.6 software. Data were subjected to two-way ANOVA followed by Bonferroni’s multiple comparisons test. Data represented as mean lifespan (in days) with error bars denoting SD. Symbols represented as *p < 0.05 and ****p < 0.0001. d Effect of ellagic acid on female fecundity. For each time point and each treatment, eggs from ten vials containing 1 male and 1 female flies/vial were counted to get the value for row means with SD. The mean number of eggs laid per female per day was used to get the fecundity curve. Data were subjected to one-way ANOVA followed by Holm–Sidak’s multiple comparisons test in the GraphPad Prism software v.6. Significance p < 0.005. e Effect of ellagic acid on climbing efficiency in flies. Data represented as mean time (in seconds) taken by 10 flies per replicate per treatment to climb 15 cm, with error bars denoting SD. For each treatment and sex along with their respective control, twenty vials containing 10 flies/vial were counted. The total number of flies used was 1200. Data were subjected to two-way ANOVA followed by Bonferroni’s multiple comparisons test in GraphPad Prism software v.6

Article Snippet: The OASIS2 software ( https://sbi.postech.ac.kr/oasis2/ ) Effect of ellagic acid on the lifespan of Drosophila melanogaster Effect of ellagic acid on fecundity and locomotion in flies To know the relation between longevity and fecundity, the mean number of eggs laid per female per day was recorded up to 21 days.

Techniques: Molecular Weight, Software, Standard Deviation, Control

Journal: GeroScience

Article Title: Ellagic acid prolongs the lifespan of Drosophila melanogaster

doi: 10.1007/s11357-019-00135-6

Figure Lengend Snippet: Effect of ellagic acid on stress resistance in flies. a Effect of ellagic acid on resistance to heat stress in flies. Mean lifespan was calculated by the Kaplan–Meier lifespan analysis in the OASIS2 software. Mean values of individual replicate of control, and two treatments of male and female flies were fed into the GraphPad Prism v.6 software. Data represented as mean lifespan (in hours) following exposure to heat stress in flies, with error bars denoting SD. Data were subjected to two-way ANOVA followed by Bonferroni’s multiple comparisons test. Symbols represented as *p < 0.05, **p < 0.01, and ***p < 0.001. For each treatment and sex along with their respective control, ten vials containing 20 flies/vial were counted. The total number of flies used was 1200. b Effect of ellagic acid on resistance to cold shock in flies. Data represented as mean recovery time of flies (in minutes) following cold shock, with error bars denoting SD. Mean values of individual replicate of control, and two treatments of male and female flies were fed into the GraphPad Prism v.6 software. Data were subjected to two-way ANOVA followed by Bonferroni’s multiple comparisons test. Symbols represented as *p < 0.05 and **p < 0.01. For each treatment and sex along with their respective control, ten vials containing 20 flies/vial were counted. c Effect of ellagic acid on resistance to starvation in flies. Mean lifespan was calculated by the Kaplan–Meier lifespan analysis in the OASIS2 software. Mean values of individual replicate of control, and two treatments of male and female flies were fed into the GraphPad Prism v.6 software. Data represented as mean lifespan (in hours) following exposure to starvation stress in flies, with error bars denoting SD. Data were subjected to two-way ANOVA followed by Bonferroni’s multiple comparisons test. Symbols represented as *p < 0.05, **p < 0.01, and ***p < 0.001. For each treatment and sex along with their respective control, ten vials containing 20 flies/vial were counted. The total number of flies used was 1200. d Effect of ellagic acid on resistance to oxidative stress in flies. Mean lifespan was calculated by the Kaplan–Meier lifespan analysis in the OASIS2 software. Mean values of individual replicate of control, and two treatments of male and female flies were fed into the GraphPad Prism v.6 software. Data represented as mean lifespan (in hours) following exposure to oxidative stress in flies, with error bars denoting SD. Data were subjected to two-way ANOVA followed by Dunnett’s multiple comparisons test. Symbols represented as **p < 0.01 and ****p < 0.0001. For each treatment and sex along with their respective control, ten vials containing 20 flies/vial were counted. The total number of flies used was 1200

Article Snippet: The OASIS2 software ( https://sbi.postech.ac.kr/oasis2/ ) Effect of ellagic acid on the lifespan of Drosophila melanogaster Effect of ellagic acid on fecundity and locomotion in flies To know the relation between longevity and fecundity, the mean number of eggs laid per female per day was recorded up to 21 days.

Techniques: Software, Control

Journal: NeuroImage

Article Title: FastSurferVINN: Building resolution-independence into deep learning segmentation methods—A solution for HighRes brain MRI

doi: 10.1016/j.neuroimage.2022.118933

Figure Lengend Snippet: Summary of datasets used for training, validation and testing. Table lists the scanner manufacturer, field strength, (disease) groups, age range and isotropic resolution (Res) used in the paper.

Article Snippet: OASIS2 , Siemens , 1.5T/3T , AD/Normal , 60–96 , 1.0 mm.

Techniques: Biomarker Discovery

Journal: NeuroImage

Article Title: FastSurferVINN: Building resolution-independence into deep learning segmentation methods—A solution for HighRes brain MRI

doi: 10.1016/j.neuroimage.2022.118933

Figure Lengend Snippet: Composition of training, validation and testing set used throughout the paper. The asterisk (*) indicates submillimeter datasets are resampled to 1.0 mm.

Article Snippet: OASIS2 , Siemens , 1.5T/3T , AD/Normal , 60–96 , 1.0 mm.

Techniques: Biomarker Discovery

Journal: NeuroImage

Article Title: FastSurferVINN: Building resolution-independence into deep learning segmentation methods—A solution for HighRes brain MRI

doi: 10.1016/j.neuroimage.2022.118933

Figure Lengend Snippet: Improved generalization performance of FastSurferVINN across nine datasets. FastSurferVINN (orange) outperforms FastSurferCNN* + external scale augmentation ( + exSA, dark green) across subcortical (left) and cortical structures (right) with respect to Dice Similarity Coefficient (DSC, top) and average surface distance (ASD, bottom). Results are consistently better for all datasets (HCP, RS, ABIDE-II, ABIDE-I, ADNI, IXI, LA5C, OASIS1 and OASIS2).

Article Snippet: OASIS2 , Siemens , 1.5T/3T , AD/Normal , 60–96 , 1.0 mm.

Techniques:

Journal: NeuroImage

Article Title: FastSurferVINN: Building resolution-independence into deep learning segmentation methods—A solution for HighRes brain MRI

doi: 10.1016/j.neuroimage.2022.118933

Figure Lengend Snippet: Compiled results of Fig. 12 - Part 2: Comparison of fixed-resolution networks and multi-resolution FastSurferVINN. State-of-the-art FastSurferCNN and optimized FastSurferCNN* trained on 120 mm scans are compared to FastSurferVINN trained on a mixed set (60 high-resolution and 60 1.0 mm scans). Note, that the scans are equivalent between the training sets and only differ in their resolution. Dice Similarity Coefficient (DSC) and average surface distance (ASD) are reported for six 1.0 mm datasets.

Article Snippet: OASIS2 , Siemens , 1.5T/3T , AD/Normal , 60–96 , 1.0 mm.

Techniques: Comparison

Journal: NeuroImage

Article Title: FastSurferVINN: Building resolution-independence into deep learning segmentation methods—A solution for HighRes brain MRI

doi: 10.1016/j.neuroimage.2022.118933

Figure Lengend Snippet: Compiled results of Fig. 8 : Generalization comparison between optimized FastSurferCNN* + external scale augmentation (exSA) and FastSurferVINN. Dice Similarity Coefficient (DSC) and average surface distance (ASD) for the subcortical and cortical structures across nine different datasets are reported.

Article Snippet: OASIS2 , Siemens , 1.5T/3T , AD/Normal , 60–96 , 1.0 mm.

Techniques: Comparison