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normal lung tissue fibroblasts hips imr90  (WiCell Research Institute Inc)


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    WiCell Research Institute Inc normal lung tissue fibroblasts hips imr90
    a , Positive and negative attribution scores for representative hiPSCs and somatic cells using the occlusion-based method (64 × 64 pixel size with stride of 32 pixels) for AINU trained with single-colour Pol II images. The blue regions correspond to areas whose occlusion decreases the probability of predicting the correct class and therefore considered positive for the prediction, whereas the red regions correspond to ‘distracting’ areas whose occlusion increases the probability of predicting the correct class. b , c , Images showing the CAM data for the hiPSC image in a and its overlay on the original image ( c ). d , Same data as a for AINU trained with dual-colour images of Pol II and H3 in hiPSCs and somatic cells. e – h , AINU trained with dual-colour Pol II and H3 images was challenged on a test set of 71 previously unseen images having the nucleoli occluded by filling them with cloned non-nucleolous regions from the same image. Normalized confusion matrix (with numbers of positively and negatively predicted images in the parentheses). e , Performance of the model for each class; the diagonal reports the accuracy for each class. The ROC curve ( f ) shows the performance of the model at all the classification thresholds and the AUC value. g , h , Precision and recall plots for the somatic cell ( g ) and hiPSC ( h ) classes, reporting the overall AP. i , j , Box plots showing a significant difference (two-sided Mann–Whitney U -test) between the median localizations per cluster ( i ) and median cluster area ( j ) in somatic ( n = 22) and hiPSC ( n = 21) nucleoli. All the box plots depict the median (horizontal line inside box), 25th and 75th percentiles (box), and 25th or 75th percentiles ± 1.5 × interquartile range (whiskers). Distributions were compared as indicated, using the Mann–Whitney U -test. ** P < 0.01. k , Bar plot showing significant difference (two-sided unpaired t -test, P = 0.0028) of ssRT-qPCR level for asincRNA transcribed by Pol II from rDNA IGS 28, between <t>IMR90</t> cells and IMR90-derived hiPSCs (error bars represent s.d.). The error bars, including mean and s.d. values, are shown for n = 3 independent experiments.
    Normal Lung Tissue Fibroblasts Hips Imr90, supplied by WiCell Research Institute Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/normal lung tissue fibroblasts hips imr90/product/WiCell Research Institute Inc
    Average 86 stars, based on 1 article reviews
    Price from $9.99 to $1999.99
    normal lung tissue fibroblasts hips imr90 - by Bioz Stars, 2024-10
    86/100 stars

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    1) Product Images from "A deep learning method that identifies cellular heterogeneity using nanoscale nuclear features"

    Article Title: A deep learning method that identifies cellular heterogeneity using nanoscale nuclear features

    Journal: Nature Machine Intelligence

    doi: 10.1038/s42256-024-00883-x

    a , Positive and negative attribution scores for representative hiPSCs and somatic cells using the occlusion-based method (64 × 64 pixel size with stride of 32 pixels) for AINU trained with single-colour Pol II images. The blue regions correspond to areas whose occlusion decreases the probability of predicting the correct class and therefore considered positive for the prediction, whereas the red regions correspond to ‘distracting’ areas whose occlusion increases the probability of predicting the correct class. b , c , Images showing the CAM data for the hiPSC image in a and its overlay on the original image ( c ). d , Same data as a for AINU trained with dual-colour images of Pol II and H3 in hiPSCs and somatic cells. e – h , AINU trained with dual-colour Pol II and H3 images was challenged on a test set of 71 previously unseen images having the nucleoli occluded by filling them with cloned non-nucleolous regions from the same image. Normalized confusion matrix (with numbers of positively and negatively predicted images in the parentheses). e , Performance of the model for each class; the diagonal reports the accuracy for each class. The ROC curve ( f ) shows the performance of the model at all the classification thresholds and the AUC value. g , h , Precision and recall plots for the somatic cell ( g ) and hiPSC ( h ) classes, reporting the overall AP. i , j , Box plots showing a significant difference (two-sided Mann–Whitney U -test) between the median localizations per cluster ( i ) and median cluster area ( j ) in somatic ( n = 22) and hiPSC ( n = 21) nucleoli. All the box plots depict the median (horizontal line inside box), 25th and 75th percentiles (box), and 25th or 75th percentiles ± 1.5 × interquartile range (whiskers). Distributions were compared as indicated, using the Mann–Whitney U -test. ** P < 0.01. k , Bar plot showing significant difference (two-sided unpaired t -test, P = 0.0028) of ssRT-qPCR level for asincRNA transcribed by Pol II from rDNA IGS 28, between IMR90 cells and IMR90-derived hiPSCs (error bars represent s.d.). The error bars, including mean and s.d. values, are shown for n = 3 independent experiments.
    Figure Legend Snippet: a , Positive and negative attribution scores for representative hiPSCs and somatic cells using the occlusion-based method (64 × 64 pixel size with stride of 32 pixels) for AINU trained with single-colour Pol II images. The blue regions correspond to areas whose occlusion decreases the probability of predicting the correct class and therefore considered positive for the prediction, whereas the red regions correspond to ‘distracting’ areas whose occlusion increases the probability of predicting the correct class. b , c , Images showing the CAM data for the hiPSC image in a and its overlay on the original image ( c ). d , Same data as a for AINU trained with dual-colour images of Pol II and H3 in hiPSCs and somatic cells. e – h , AINU trained with dual-colour Pol II and H3 images was challenged on a test set of 71 previously unseen images having the nucleoli occluded by filling them with cloned non-nucleolous regions from the same image. Normalized confusion matrix (with numbers of positively and negatively predicted images in the parentheses). e , Performance of the model for each class; the diagonal reports the accuracy for each class. The ROC curve ( f ) shows the performance of the model at all the classification thresholds and the AUC value. g , h , Precision and recall plots for the somatic cell ( g ) and hiPSC ( h ) classes, reporting the overall AP. i , j , Box plots showing a significant difference (two-sided Mann–Whitney U -test) between the median localizations per cluster ( i ) and median cluster area ( j ) in somatic ( n = 22) and hiPSC ( n = 21) nucleoli. All the box plots depict the median (horizontal line inside box), 25th and 75th percentiles (box), and 25th or 75th percentiles ± 1.5 × interquartile range (whiskers). Distributions were compared as indicated, using the Mann–Whitney U -test. ** P < 0.01. k , Bar plot showing significant difference (two-sided unpaired t -test, P = 0.0028) of ssRT-qPCR level for asincRNA transcribed by Pol II from rDNA IGS 28, between IMR90 cells and IMR90-derived hiPSCs (error bars represent s.d.). The error bars, including mean and s.d. values, are shown for n = 3 independent experiments.

    Techniques Used: Clone Assay, MANN-WHITNEY, Derivative Assay



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    normal lung tissue fibroblasts hips imr90  (WiCell Research Institute Inc)
    86
    WiCell Research Institute Inc normal lung tissue fibroblasts hips imr90
    a , Positive and negative attribution scores for representative hiPSCs and somatic cells using the occlusion-based method (64 × 64 pixel size with stride of 32 pixels) for AINU trained with single-colour Pol II images. The blue regions correspond to areas whose occlusion decreases the probability of predicting the correct class and therefore considered positive for the prediction, whereas the red regions correspond to ‘distracting’ areas whose occlusion increases the probability of predicting the correct class. b , c , Images showing the CAM data for the hiPSC image in a and its overlay on the original image ( c ). d , Same data as a for AINU trained with dual-colour images of Pol II and H3 in hiPSCs and somatic cells. e – h , AINU trained with dual-colour Pol II and H3 images was challenged on a test set of 71 previously unseen images having the nucleoli occluded by filling them with cloned non-nucleolous regions from the same image. Normalized confusion matrix (with numbers of positively and negatively predicted images in the parentheses). e , Performance of the model for each class; the diagonal reports the accuracy for each class. The ROC curve ( f ) shows the performance of the model at all the classification thresholds and the AUC value. g , h , Precision and recall plots for the somatic cell ( g ) and hiPSC ( h ) classes, reporting the overall AP. i , j , Box plots showing a significant difference (two-sided Mann–Whitney U -test) between the median localizations per cluster ( i ) and median cluster area ( j ) in somatic ( n = 22) and hiPSC ( n = 21) nucleoli. All the box plots depict the median (horizontal line inside box), 25th and 75th percentiles (box), and 25th or 75th percentiles ± 1.5 × interquartile range (whiskers). Distributions were compared as indicated, using the Mann–Whitney U -test. ** P < 0.01. k , Bar plot showing significant difference (two-sided unpaired t -test, P = 0.0028) of ssRT-qPCR level for asincRNA transcribed by Pol II from rDNA IGS 28, between <t>IMR90</t> cells and IMR90-derived hiPSCs (error bars represent s.d.). The error bars, including mean and s.d. values, are shown for n = 3 independent experiments.
    Normal Lung Tissue Fibroblasts Hips Imr90, supplied by WiCell Research Institute Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/normal lung tissue fibroblasts hips imr90/product/WiCell Research Institute Inc
    Average 86 stars, based on 1 article reviews
    Price from $9.99 to $1999.99
    normal lung tissue fibroblasts hips imr90 - by Bioz Stars, 2024-10
    86/100 stars
    		  Buy from Supplier

    Image Search Results


    a , Positive and negative attribution scores for representative hiPSCs and somatic cells using the occlusion-based method (64 × 64 pixel size with stride of 32 pixels) for AINU trained with single-colour Pol II images. The blue regions correspond to areas whose occlusion decreases the probability of predicting the correct class and therefore considered positive for the prediction, whereas the red regions correspond to ‘distracting’ areas whose occlusion increases the probability of predicting the correct class. b , c , Images showing the CAM data for the hiPSC image in a and its overlay on the original image ( c ). d , Same data as a for AINU trained with dual-colour images of Pol II and H3 in hiPSCs and somatic cells. e – h , AINU trained with dual-colour Pol II and H3 images was challenged on a test set of 71 previously unseen images having the nucleoli occluded by filling them with cloned non-nucleolous regions from the same image. Normalized confusion matrix (with numbers of positively and negatively predicted images in the parentheses). e , Performance of the model for each class; the diagonal reports the accuracy for each class. The ROC curve ( f ) shows the performance of the model at all the classification thresholds and the AUC value. g , h , Precision and recall plots for the somatic cell ( g ) and hiPSC ( h ) classes, reporting the overall AP. i , j , Box plots showing a significant difference (two-sided Mann–Whitney U -test) between the median localizations per cluster ( i ) and median cluster area ( j ) in somatic ( n = 22) and hiPSC ( n = 21) nucleoli. All the box plots depict the median (horizontal line inside box), 25th and 75th percentiles (box), and 25th or 75th percentiles ± 1.5 × interquartile range (whiskers). Distributions were compared as indicated, using the Mann–Whitney U -test. ** P < 0.01. k , Bar plot showing significant difference (two-sided unpaired t -test, P = 0.0028) of ssRT-qPCR level for asincRNA transcribed by Pol II from rDNA IGS 28, between IMR90 cells and IMR90-derived hiPSCs (error bars represent s.d.). The error bars, including mean and s.d. values, are shown for n = 3 independent experiments.

    Journal: Nature Machine Intelligence

    Article Title: A deep learning method that identifies cellular heterogeneity using nanoscale nuclear features

    doi: 10.1038/s42256-024-00883-x

    Figure Lengend Snippet: a , Positive and negative attribution scores for representative hiPSCs and somatic cells using the occlusion-based method (64 × 64 pixel size with stride of 32 pixels) for AINU trained with single-colour Pol II images. The blue regions correspond to areas whose occlusion decreases the probability of predicting the correct class and therefore considered positive for the prediction, whereas the red regions correspond to ‘distracting’ areas whose occlusion increases the probability of predicting the correct class. b , c , Images showing the CAM data for the hiPSC image in a and its overlay on the original image ( c ). d , Same data as a for AINU trained with dual-colour images of Pol II and H3 in hiPSCs and somatic cells. e – h , AINU trained with dual-colour Pol II and H3 images was challenged on a test set of 71 previously unseen images having the nucleoli occluded by filling them with cloned non-nucleolous regions from the same image. Normalized confusion matrix (with numbers of positively and negatively predicted images in the parentheses). e , Performance of the model for each class; the diagonal reports the accuracy for each class. The ROC curve ( f ) shows the performance of the model at all the classification thresholds and the AUC value. g , h , Precision and recall plots for the somatic cell ( g ) and hiPSC ( h ) classes, reporting the overall AP. i , j , Box plots showing a significant difference (two-sided Mann–Whitney U -test) between the median localizations per cluster ( i ) and median cluster area ( j ) in somatic ( n = 22) and hiPSC ( n = 21) nucleoli. All the box plots depict the median (horizontal line inside box), 25th and 75th percentiles (box), and 25th or 75th percentiles ± 1.5 × interquartile range (whiskers). Distributions were compared as indicated, using the Mann–Whitney U -test. ** P < 0.01. k , Bar plot showing significant difference (two-sided unpaired t -test, P = 0.0028) of ssRT-qPCR level for asincRNA transcribed by Pol II from rDNA IGS 28, between IMR90 cells and IMR90-derived hiPSCs (error bars represent s.d.). The error bars, including mean and s.d. values, are shown for n = 3 independent experiments.

    Article Snippet: Further, hiPSCs were induced from amniocytes, BJ fibroblasts, dermal fibroblasts, normal lung tissue fibroblasts (hiPS(IMR90)-4: WiCell, #WISCi004) periosteum cells, umbilical cord MSCs and urine epithelial cells.

    Techniques: Clone Assay, MANN-WHITNEY, Derivative Assay