matlab program easyflow Search Results


custom software easyflow  (MathWorks Inc)
90
MathWorks Inc custom software easyflow
Custom Software Easyflow, 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/custom software easyflow/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
custom software easyflow - by Bioz Stars, 2026-03
90/100 stars
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matlab program easyflow  (MathWorks Inc)
90
MathWorks Inc matlab program easyflow
Matlab Program Easyflow, 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/matlab program easyflow/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
matlab program easyflow - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier
easyflow  (MathWorks Inc)
90
MathWorks Inc easyflow
Comparison of currently available software for flow cytometry analysis.
Easyflow, 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/easyflow/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
easyflow - by Bioz Stars, 2026-03
90/100 stars
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cytoflex s flow cytometer  (Danaher Inc)
96
Danaher Inc cytoflex s flow cytometer
Comparison of currently available software for flow cytometry analysis.
Cytoflex S Flow Cytometer, supplied by Danaher Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/cytoflex s flow cytometer/product/Danaher Inc
Average 96 stars, based on 1 article reviews
cytoflex s flow cytometer - by Bioz Stars, 2026-03
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Image Search Results


Comparison of currently available software for flow cytometry analysis.

Journal: PLOS ONE

Article Title: EasyFlow: An open-source, user-friendly cytometry analyzer with graphic user interface (GUI)

doi: 10.1371/journal.pone.0308873

Figure Lengend Snippet: Comparison of currently available software for flow cytometry analysis.

Article Snippet: EasyFlow is implemented in both Matlab and Python programming environments, providing three main characteristics: capacity for exporting and interacting with raw data, cross-platform and standalone capability, and flexibility for further community development.

Techniques: Comparison, Software, Flow Cytometry

Screenshots of the EasyFlow (Matlab) (A) and EasyFlowQ (Python) (B), with basic functions including managing FCS files, plotting and gating, annotated.

Journal: PLOS ONE

Article Title: EasyFlow: An open-source, user-friendly cytometry analyzer with graphic user interface (GUI)

doi: 10.1371/journal.pone.0308873

Figure Lengend Snippet: Screenshots of the EasyFlow (Matlab) (A) and EasyFlowQ (Python) (B), with basic functions including managing FCS files, plotting and gating, annotated.

Article Snippet: EasyFlow is implemented in both Matlab and Python programming environments, providing three main characteristics: capacity for exporting and interacting with raw data, cross-platform and standalone capability, and flexibility for further community development.

Techniques:

T cells (Modified Jurkats, see ) were co-cultured with antigen-presenting cells (T2 line, B cells) and their cognate peptide to induce T cell activation. Cells were stained with antibodies to CD19 (B cell marker), CD3 (T cell receptor subunit), and CD69 (T cell activation marker). To gate live cells (A) and single cells (B), cells are plotted using the “Colored Dot Plot’’ option to visualize cell density and identify the sub-populations in the data. Cells are gated using a polygonal 2-dimensional gate, allowing to set the required gate to select for the desired population of cells. Next, a histogram display is used to identify the T cells and remove the B cells (C) and to identify T cells expressing CD3 that can respond to the added peptide (D). Using a 1-dimensional gate, we select the desired cells by choosing the range of values for the corresponding marker within a bi-modal population. In EasyFlow, gates are defined globally so that even if created for a single sample, gates can be applied to all samples in the analysis. In this way, the sequence of gates is applied to all samples in the analysis, enabling the comparison between different conditions. Finally, the percentage of activated cells as determined by the expression of CD69 is examined on the gated live single peptide-sensitive T cells. The percentage of CD69-expressing cells under three conditions: low, high, and no added peptide is examined (E). In all panels, the top row shows the EasyFlow (Matlab) UI, while the bottom row shows the EasyFlowQ (Python) UI.

Journal: PLOS ONE

Article Title: EasyFlow: An open-source, user-friendly cytometry analyzer with graphic user interface (GUI)

doi: 10.1371/journal.pone.0308873

Figure Lengend Snippet: T cells (Modified Jurkats, see ) were co-cultured with antigen-presenting cells (T2 line, B cells) and their cognate peptide to induce T cell activation. Cells were stained with antibodies to CD19 (B cell marker), CD3 (T cell receptor subunit), and CD69 (T cell activation marker). To gate live cells (A) and single cells (B), cells are plotted using the “Colored Dot Plot’’ option to visualize cell density and identify the sub-populations in the data. Cells are gated using a polygonal 2-dimensional gate, allowing to set the required gate to select for the desired population of cells. Next, a histogram display is used to identify the T cells and remove the B cells (C) and to identify T cells expressing CD3 that can respond to the added peptide (D). Using a 1-dimensional gate, we select the desired cells by choosing the range of values for the corresponding marker within a bi-modal population. In EasyFlow, gates are defined globally so that even if created for a single sample, gates can be applied to all samples in the analysis. In this way, the sequence of gates is applied to all samples in the analysis, enabling the comparison between different conditions. Finally, the percentage of activated cells as determined by the expression of CD69 is examined on the gated live single peptide-sensitive T cells. The percentage of CD69-expressing cells under three conditions: low, high, and no added peptide is examined (E). In all panels, the top row shows the EasyFlow (Matlab) UI, while the bottom row shows the EasyFlowQ (Python) UI.

Article Snippet: EasyFlow is implemented in both Matlab and Python programming environments, providing three main characteristics: capacity for exporting and interacting with raw data, cross-platform and standalone capability, and flexibility for further community development.

Techniques: Modification, Cell Culture, Activation Assay, Staining, Marker, Expressing, Sequencing, Comparison