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


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    Structured Review

    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
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    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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    Cell phenotype identification and cell differentiation. (A) Flow cytometry analysis showed high expression of the cell surface markers CD105, CD90, and <t>CD73,</t> while CD45, CD34, and HLA-DR expression was absent. (B) Three lineage differentiation of NP-MSCs. Oil red O staining of NP-MSC intracellular lipid vacuoles indicated adipogenic differentiation; Alcian blue staining of cartilage indicated chondrogenic differentiation; Alizarin red staining of calcium nodules indicated osteogenic differentiation.
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    Cell phenotype identification and cell differentiation. (A) Flow cytometry analysis showed high expression of the cell surface markers CD105, CD90, and <t>CD73,</t> while CD45, CD34, and HLA-DR expression was absent. (B) Three lineage differentiation of NP-MSCs. Oil red O staining of NP-MSC intracellular lipid vacuoles indicated adipogenic differentiation; Alcian blue staining of cartilage indicated chondrogenic differentiation; Alizarin red staining of calcium nodules indicated osteogenic differentiation.
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    Image Search Results


    (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

    Cell phenotype identification and cell differentiation. (A) Flow cytometry analysis showed high expression of the cell surface markers CD105, CD90, and CD73, while CD45, CD34, and HLA-DR expression was absent. (B) Three lineage differentiation of NP-MSCs. Oil red O staining of NP-MSC intracellular lipid vacuoles indicated adipogenic differentiation; Alcian blue staining of cartilage indicated chondrogenic differentiation; Alizarin red staining of calcium nodules indicated osteogenic differentiation.

    Journal: Frontiers in Bioengineering and Biotechnology

    Article Title: Sa12b Improves Biological Activity of Human Degenerative Nucleus Pulposus Mesenchymal Stem Cells in a Severe Acid Environment by Inhibiting Acid-Sensitive Ion Channels

    doi: 10.3389/fbioe.2022.816362

    Figure Lengend Snippet: Cell phenotype identification and cell differentiation. (A) Flow cytometry analysis showed high expression of the cell surface markers CD105, CD90, and CD73, while CD45, CD34, and HLA-DR expression was absent. (B) Three lineage differentiation of NP-MSCs. Oil red O staining of NP-MSC intracellular lipid vacuoles indicated adipogenic differentiation; Alcian blue staining of cartilage indicated chondrogenic differentiation; Alizarin red staining of calcium nodules indicated osteogenic differentiation.

    Article Snippet: Each tube contained 5 μl of the following antibodies, according to the recommendations of the International Society for Cell Therapy: CD34-APC, CD73-FTTC, CD45-PE, CD90-FTTC, CD105-PE, and HLA-DR-APC (eBioscience, United States).

    Techniques: Cell Differentiation, Flow Cytometry, Expressing, Staining