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fourier transform traction cytometry (fttc) technique  (MathWorks Inc)


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    MathWorks Inc fourier transform traction cytometry (fttc) technique
    (A), The flowchart of isolation of hPASCs and cellular morphology. (B), ScRNA-seq analysis of hPASCs: (a), Cell types enrichment of hPASCs; (b), Markers of hPASCs; (c), KEGG enrichment of ScRNA-seq. (C), Stem cell potentiality of hPASCs: (a), Phenotype; (b), CytoTRACE; (c), Development potential by phenotype; (d), Relative order; (e), Trajectory pseudotime; (D), ECs differentiation of hPASCs: (a), Morphology of hPASCs, hUVECs and ECs differentiation of hPASCs.Scale bar 100 µm; (b), Positive control hUVECs expressing CD31 and CDH5.Scale bar 50 µm; (c), hPASCs were negative for CD31 and CDH5, Scale bar 50 µm; (d), hPASCs were positive for CD31 and CDH5 after ECs differentiation.Scale bar 50 µm. (E), Trace the cellular origins of hPASCs: (a), Cell types of placental microvessels; (b-c) correlation analysis between hPASCs and placental microvessels; (d), Predicts the original cell types of hPASCs by using the placenta microvessles data as a reference dataset. (F), Surface protein identification of hPASCs: (a) Immunofluorescence, hPASCs were positive for PAI-1 and MECOM.Scale bar 50 µm; (b) Flow <t>cytometry.</t>
    Fourier Transform Traction Cytometry (Fttc) Technique, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/fourier transform traction cytometry (fttc) technique/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    fourier transform traction cytometry (fttc) technique - by Bioz Stars, 2026-04
    90/100 stars

    Images

    1) Product Images from "Vascularized Bioengineered Kidney Using Decellularized Scaffold Recellularized with human Placenta-Derived Angiogenic stem Cells and Kidney Organoids"

    Article Title: Vascularized Bioengineered Kidney Using Decellularized Scaffold Recellularized with human Placenta-Derived Angiogenic stem Cells and Kidney Organoids

    Journal: bioRxiv

    doi: 10.1101/2025.07.10.664023

    (A), The flowchart of isolation of hPASCs and cellular morphology. (B), ScRNA-seq analysis of hPASCs: (a), Cell types enrichment of hPASCs; (b), Markers of hPASCs; (c), KEGG enrichment of ScRNA-seq. (C), Stem cell potentiality of hPASCs: (a), Phenotype; (b), CytoTRACE; (c), Development potential by phenotype; (d), Relative order; (e), Trajectory pseudotime; (D), ECs differentiation of hPASCs: (a), Morphology of hPASCs, hUVECs and ECs differentiation of hPASCs.Scale bar 100 µm; (b), Positive control hUVECs expressing CD31 and CDH5.Scale bar 50 µm; (c), hPASCs were negative for CD31 and CDH5, Scale bar 50 µm; (d), hPASCs were positive for CD31 and CDH5 after ECs differentiation.Scale bar 50 µm. (E), Trace the cellular origins of hPASCs: (a), Cell types of placental microvessels; (b-c) correlation analysis between hPASCs and placental microvessels; (d), Predicts the original cell types of hPASCs by using the placenta microvessles data as a reference dataset. (F), Surface protein identification of hPASCs: (a) Immunofluorescence, hPASCs were positive for PAI-1 and MECOM.Scale bar 50 µm; (b) Flow cytometry.
    Figure Legend Snippet: (A), The flowchart of isolation of hPASCs and cellular morphology. (B), ScRNA-seq analysis of hPASCs: (a), Cell types enrichment of hPASCs; (b), Markers of hPASCs; (c), KEGG enrichment of ScRNA-seq. (C), Stem cell potentiality of hPASCs: (a), Phenotype; (b), CytoTRACE; (c), Development potential by phenotype; (d), Relative order; (e), Trajectory pseudotime; (D), ECs differentiation of hPASCs: (a), Morphology of hPASCs, hUVECs and ECs differentiation of hPASCs.Scale bar 100 µm; (b), Positive control hUVECs expressing CD31 and CDH5.Scale bar 50 µm; (c), hPASCs were negative for CD31 and CDH5, Scale bar 50 µm; (d), hPASCs were positive for CD31 and CDH5 after ECs differentiation.Scale bar 50 µm. (E), Trace the cellular origins of hPASCs: (a), Cell types of placental microvessels; (b-c) correlation analysis between hPASCs and placental microvessels; (d), Predicts the original cell types of hPASCs by using the placenta microvessles data as a reference dataset. (F), Surface protein identification of hPASCs: (a) Immunofluorescence, hPASCs were positive for PAI-1 and MECOM.Scale bar 50 µm; (b) Flow cytometry.

    Techniques Used: Isolation, Positive Control, Expressing, Immunofluorescence, Flow Cytometry



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    (A), The flowchart of isolation of hPASCs and cellular morphology. (B), ScRNA-seq analysis of hPASCs: (a), Cell types enrichment of hPASCs; (b), Markers of hPASCs; (c), KEGG enrichment of ScRNA-seq. (C), Stem cell potentiality of hPASCs: (a), Phenotype; (b), CytoTRACE; (c), Development potential by phenotype; (d), Relative order; (e), Trajectory pseudotime; (D), ECs differentiation of hPASCs: (a), Morphology of hPASCs, hUVECs and ECs differentiation of hPASCs.Scale bar 100 µm; (b), Positive control hUVECs expressing CD31 and CDH5.Scale bar 50 µm; (c), hPASCs were negative for CD31 and CDH5, Scale bar 50 µm; (d), hPASCs were positive for CD31 and CDH5 after ECs differentiation.Scale bar 50 µm. (E), Trace the cellular origins of hPASCs: (a), Cell types of placental microvessels; (b-c) correlation analysis between hPASCs and placental microvessels; (d), Predicts the original cell types of hPASCs by using the placenta microvessles data as a reference dataset. (F), Surface protein identification of hPASCs: (a) Immunofluorescence, hPASCs were positive for PAI-1 and MECOM.Scale bar 50 µm; (b) Flow <t>cytometry.</t>
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    (A), The flowchart of isolation of hPASCs and cellular morphology. (B), ScRNA-seq analysis of hPASCs: (a), Cell types enrichment of hPASCs; (b), Markers of hPASCs; (c), KEGG enrichment of ScRNA-seq. (C), Stem cell potentiality of hPASCs: (a), Phenotype; (b), CytoTRACE; (c), Development potential by phenotype; (d), Relative order; (e), Trajectory pseudotime; (D), ECs differentiation of hPASCs: (a), Morphology of hPASCs, hUVECs and ECs differentiation of hPASCs.Scale bar 100 µm; (b), Positive control hUVECs expressing CD31 and CDH5.Scale bar 50 µm; (c), hPASCs were negative for CD31 and CDH5, Scale bar 50 µm; (d), hPASCs were positive for CD31 and CDH5 after ECs differentiation.Scale bar 50 µm. (E), Trace the cellular origins of hPASCs: (a), Cell types of placental microvessels; (b-c) correlation analysis between hPASCs and placental microvessels; (d), Predicts the original cell types of hPASCs by using the placenta microvessles data as a reference dataset. (F), Surface protein identification of hPASCs: (a) Immunofluorescence, hPASCs were positive for PAI-1 and MECOM.Scale bar 50 µm; (b) Flow <t>cytometry.</t>
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    (A), The flowchart of isolation of hPASCs and cellular morphology. (B), ScRNA-seq analysis of hPASCs: (a), Cell types enrichment of hPASCs; (b), Markers of hPASCs; (c), KEGG enrichment of ScRNA-seq. (C), Stem cell potentiality of hPASCs: (a), Phenotype; (b), CytoTRACE; (c), Development potential by phenotype; (d), Relative order; (e), Trajectory pseudotime; (D), ECs differentiation of hPASCs: (a), Morphology of hPASCs, hUVECs and ECs differentiation of hPASCs.Scale bar 100 µm; (b), Positive control hUVECs expressing CD31 and CDH5.Scale bar 50 µm; (c), hPASCs were negative for CD31 and CDH5, Scale bar 50 µm; (d), hPASCs were positive for CD31 and CDH5 after ECs differentiation.Scale bar 50 µm. (E), Trace the cellular origins of hPASCs: (a), Cell types of placental microvessels; (b-c) correlation analysis between hPASCs and placental microvessels; (d), Predicts the original cell types of hPASCs by using the placenta microvessles data as a reference dataset. (F), Surface protein identification of hPASCs: (a) Immunofluorescence, hPASCs were positive for PAI-1 and MECOM.Scale bar 50 µm; (b) Flow <t>cytometry.</t>
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    fourier transform traction cytometry (fttc) algorithm  (MathWorks Inc)
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    (A), The flowchart of isolation of hPASCs and cellular morphology. (B), ScRNA-seq analysis of hPASCs: (a), Cell types enrichment of hPASCs; (b), Markers of hPASCs; (c), KEGG enrichment of ScRNA-seq. (C), Stem cell potentiality of hPASCs: (a), Phenotype; (b), CytoTRACE; (c), Development potential by phenotype; (d), Relative order; (e), Trajectory pseudotime; (D), ECs differentiation of hPASCs: (a), Morphology of hPASCs, hUVECs and ECs differentiation of hPASCs.Scale bar 100 µm; (b), Positive control hUVECs expressing CD31 and CDH5.Scale bar 50 µm; (c), hPASCs were negative for CD31 and CDH5, Scale bar 50 µm; (d), hPASCs were positive for CD31 and CDH5 after ECs differentiation.Scale bar 50 µm. (E), Trace the cellular origins of hPASCs: (a), Cell types of placental microvessels; (b-c) correlation analysis between hPASCs and placental microvessels; (d), Predicts the original cell types of hPASCs by using the placenta microvessles data as a reference dataset. (F), Surface protein identification of hPASCs: (a) Immunofluorescence, hPASCs were positive for PAI-1 and MECOM.Scale bar 50 µm; (b) Flow <t>cytometry.</t>
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    (A), The flowchart of isolation of hPASCs and cellular morphology. (B), ScRNA-seq analysis of hPASCs: (a), Cell types enrichment of hPASCs; (b), Markers of hPASCs; (c), KEGG enrichment of ScRNA-seq. (C), Stem cell potentiality of hPASCs: (a), Phenotype; (b), CytoTRACE; (c), Development potential by phenotype; (d), Relative order; (e), Trajectory pseudotime; (D), ECs differentiation of hPASCs: (a), Morphology of hPASCs, hUVECs and ECs differentiation of hPASCs.Scale bar 100 µm; (b), Positive control hUVECs expressing CD31 and CDH5.Scale bar 50 µm; (c), hPASCs were negative for CD31 and CDH5, Scale bar 50 µm; (d), hPASCs were positive for CD31 and CDH5 after ECs differentiation.Scale bar 50 µm. (E), Trace the cellular origins of hPASCs: (a), Cell types of placental microvessels; (b-c) correlation analysis between hPASCs and placental microvessels; (d), Predicts the original cell types of hPASCs by using the placenta microvessles data as a reference dataset. (F), Surface protein identification of hPASCs: (a) Immunofluorescence, hPASCs were positive for PAI-1 and MECOM.Scale bar 50 µm; (b) Flow cytometry.

    Journal: bioRxiv

    Article Title: Vascularized Bioengineered Kidney Using Decellularized Scaffold Recellularized with human Placenta-Derived Angiogenic stem Cells and Kidney Organoids

    doi: 10.1101/2025.07.10.664023

    Figure Lengend Snippet: (A), The flowchart of isolation of hPASCs and cellular morphology. (B), ScRNA-seq analysis of hPASCs: (a), Cell types enrichment of hPASCs; (b), Markers of hPASCs; (c), KEGG enrichment of ScRNA-seq. (C), Stem cell potentiality of hPASCs: (a), Phenotype; (b), CytoTRACE; (c), Development potential by phenotype; (d), Relative order; (e), Trajectory pseudotime; (D), ECs differentiation of hPASCs: (a), Morphology of hPASCs, hUVECs and ECs differentiation of hPASCs.Scale bar 100 µm; (b), Positive control hUVECs expressing CD31 and CDH5.Scale bar 50 µm; (c), hPASCs were negative for CD31 and CDH5, Scale bar 50 µm; (d), hPASCs were positive for CD31 and CDH5 after ECs differentiation.Scale bar 50 µm. (E), Trace the cellular origins of hPASCs: (a), Cell types of placental microvessels; (b-c) correlation analysis between hPASCs and placental microvessels; (d), Predicts the original cell types of hPASCs by using the placenta microvessles data as a reference dataset. (F), Surface protein identification of hPASCs: (a) Immunofluorescence, hPASCs were positive for PAI-1 and MECOM.Scale bar 50 µm; (b) Flow cytometry.

    Article Snippet: The cell traction stress field was reconstructed using the optimal filtering method based on the classic Fourier Transform Traction Cytometry (FTTC) technique, implemented in MATLAB.

    Techniques: Isolation, Positive Control, Expressing, Immunofluorescence, Flow Cytometry