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Comparison of NET quantification by hand counting semi-automated quantification and <t>NETQUANT.</t> A : Cell numbers for Image set 1 determined by all three methods, showing significantly fewer cell counts by NETQUANT in the majority of the images. B : NET formation determined by all methods revealed a significant difference between hand counting and NETQUANT as well as the semi-automated method. Statistical analysis was performed by Two-Way ANOVA with Dunnett correction for multiple comparison. Semi-automated and NETQUANT values were compared with hand counting. Data are given as mean ± SD. (*p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001).
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Comparison of NET quantification by hand counting semi-automated quantification and <t>NETQUANT.</t> A : Cell numbers for Image set 1 determined by all three methods, showing significantly fewer cell counts by NETQUANT in the majority of the images. B : NET formation determined by all methods revealed a significant difference between hand counting and NETQUANT as well as the semi-automated method. Statistical analysis was performed by Two-Way ANOVA with Dunnett correction for multiple comparison. Semi-automated and NETQUANT values were compared with hand counting. Data are given as mean ± SD. (*p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001).
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Comparison of NET quantification by hand counting semi-automated quantification and <t>NETQUANT.</t> A : Cell numbers for Image set 1 determined by all three methods, showing significantly fewer cell counts by NETQUANT in the majority of the images. B : NET formation determined by all methods revealed a significant difference between hand counting and NETQUANT as well as the semi-automated method. Statistical analysis was performed by Two-Way ANOVA with Dunnett correction for multiple comparison. Semi-automated and NETQUANT values were compared with hand counting. Data are given as mean ± SD. (*p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001).
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Comparison of NET quantification by hand counting semi-automated quantification and <t>NETQUANT.</t> A : Cell numbers for Image set 1 determined by all three methods, showing significantly fewer cell counts by NETQUANT in the majority of the images. B : NET formation determined by all methods revealed a significant difference between hand counting and NETQUANT as well as the semi-automated method. Statistical analysis was performed by Two-Way ANOVA with Dunnett correction for multiple comparison. Semi-automated and NETQUANT values were compared with hand counting. Data are given as mean ± SD. (*p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001).
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Comparison of NET quantification by hand counting semi-automated quantification and NETQUANT. A : Cell numbers for Image set 1 determined by all three methods, showing significantly fewer cell counts by NETQUANT in the majority of the images. B : NET formation determined by all methods revealed a significant difference between hand counting and NETQUANT as well as the semi-automated method. Statistical analysis was performed by Two-Way ANOVA with Dunnett correction for multiple comparison. Semi-automated and NETQUANT values were compared with hand counting. Data are given as mean ± SD. (*p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001).

Journal: Heliyon

Article Title: Comparison of NET quantification methods based on immunofluorescence microscopy: Hand-counting, semi-automated and automated evaluations

doi: 10.1016/j.heliyon.2023.e16982

Figure Lengend Snippet: Comparison of NET quantification by hand counting semi-automated quantification and NETQUANT. A : Cell numbers for Image set 1 determined by all three methods, showing significantly fewer cell counts by NETQUANT in the majority of the images. B : NET formation determined by all methods revealed a significant difference between hand counting and NETQUANT as well as the semi-automated method. Statistical analysis was performed by Two-Way ANOVA with Dunnett correction for multiple comparison. Semi-automated and NETQUANT values were compared with hand counting. Data are given as mean ± SD. (*p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001).

Article Snippet: Therefore, in the present study, we aimed to compare the evaluation of two sets of immunofluorescence images using three different approaches: (1) hand counting, (2) semi-automated quantification [ ], and (3) the MATLAB-based automated NETQUANT application [ ].

Techniques: Comparison

Comparison of hand counting, NETQUANT, and semi-automated quantification for image set 2. A shows the cell count for the control group with the semi-automated methods giving unrealistically high values for some images. Significant differences by both semi-automated and NETQUANT compared to hand counting were apparent. In B, the pattern remained similar to A, where the semi-automated method showed remarkably higher values of cell counts in several cases. C depicts NET formation values by all three methods, with the semi-automated method showing significantly higher results than both other methods in the control group, even exceeding 100% NET formation. D shows NET formation of the stimulated group where NETQUANT exhibited values within the range of hand counting, while the semi -automated method revealed significant differences. Statistical analysis was performed by Two-Way ANOVA with Dunnett correction for multiple comparison. Semi -automated and NETQUANT values were compared to hand counting. Data are given as mean ± SD. (*p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001).

Journal: Heliyon

Article Title: Comparison of NET quantification methods based on immunofluorescence microscopy: Hand-counting, semi-automated and automated evaluations

doi: 10.1016/j.heliyon.2023.e16982

Figure Lengend Snippet: Comparison of hand counting, NETQUANT, and semi-automated quantification for image set 2. A shows the cell count for the control group with the semi-automated methods giving unrealistically high values for some images. Significant differences by both semi-automated and NETQUANT compared to hand counting were apparent. In B, the pattern remained similar to A, where the semi-automated method showed remarkably higher values of cell counts in several cases. C depicts NET formation values by all three methods, with the semi-automated method showing significantly higher results than both other methods in the control group, even exceeding 100% NET formation. D shows NET formation of the stimulated group where NETQUANT exhibited values within the range of hand counting, while the semi -automated method revealed significant differences. Statistical analysis was performed by Two-Way ANOVA with Dunnett correction for multiple comparison. Semi -automated and NETQUANT values were compared to hand counting. Data are given as mean ± SD. (*p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001).

Article Snippet: Therefore, in the present study, we aimed to compare the evaluation of two sets of immunofluorescence images using three different approaches: (1) hand counting, (2) semi-automated quantification [ ], and (3) the MATLAB-based automated NETQUANT application [ ].

Techniques: Comparison, Cell Counting, Control