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pch module  (Carl Zeiss)


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    Carl Zeiss pch module
    Molecular brightness of fluorescence-tagged 5-HT 2C receptors expressed on the plasma membrane of hippocampal neurons and HEK293 cells Molecular brightness values were calculated from the FCS data by dividing the average photon count rate (obtained from the fluorescence intensity trace) by the number of fluorescent molecules (derived from the autocorrelation function) and are expressed as CPSM. Molecular brightness determined by PCH was performed using the <t> PCH module </t> in the <t> Zeiss </t> Aim 4.2 software for a one-component model, and the resulting reduced χ 2 value is reported. Data represent the mean ± S.E. for the number of cells indicated ( n ) from two or three independent transfection experiments.
    Pch Module, supplied by Carl Zeiss, 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/product/zeiss+histogram+analysis+function/module+pch/pmc03390635-396-5-9
    Average 90 stars, based on 1 article reviews
    pch module - by Bioz Stars, 2026-09
    90/100 stars

    Images

    1) Product Images from "Oligomer Size of the Serotonin 5-Hydroxytryptamine 2C (5-HT 2C ) Receptor Revealed by Fluorescence Correlation Spectroscopy with Photon Counting Histogram Analysis"

    Article Title: Oligomer Size of the Serotonin 5-Hydroxytryptamine 2C (5-HT 2C ) Receptor Revealed by Fluorescence Correlation Spectroscopy with Photon Counting Histogram Analysis

    Journal: The Journal of Biological Chemistry

    doi: 10.1074/jbc.M112.350249

    Molecular brightness of fluorescence-tagged 5-HT 2C receptors expressed on the plasma membrane of hippocampal neurons and HEK293 cells Molecular brightness values were calculated from the FCS data by dividing the average photon count rate (obtained from the fluorescence intensity trace) by the number of fluorescent molecules (derived from the autocorrelation function) and are expressed as CPSM. Molecular brightness determined by PCH was performed using the PCH module in the Zeiss Aim 4.2 software for a one-component model, and the resulting reduced χ 2 value is reported. Data represent the mean ± S.E. for the number of cells indicated ( n ) from two or three independent transfection experiments.
    Figure Legend Snippet: Molecular brightness of fluorescence-tagged 5-HT 2C receptors expressed on the plasma membrane of hippocampal neurons and HEK293 cells Molecular brightness values were calculated from the FCS data by dividing the average photon count rate (obtained from the fluorescence intensity trace) by the number of fluorescent molecules (derived from the autocorrelation function) and are expressed as CPSM. Molecular brightness determined by PCH was performed using the PCH module in the Zeiss Aim 4.2 software for a one-component model, and the resulting reduced χ 2 value is reported. Data represent the mean ± S.E. for the number of cells indicated ( n ) from two or three independent transfection experiments.

    Techniques Used: Fluorescence, Clinical Proteomics, Membrane, Derivative Assay, Software, Transfection

    Photon counting histograms from FCS recordings made in the cytosol of HEK293 cells expressing a tandem, GFP-GFP dimeric construct (A) and the plasma membrane of HEK293 cells expressing 5-HT2C/GFP receptors (B). The inset shows the PCH on a linear scale. To generate a histogram, each 10-s fluorescence intensity trace (as illustrated in Fig. 3A) was broken down into 1 million 10-μs intervals or bins (PCH bin time = 10 μs). Histograms were constructed (using the PCH module in the Zeiss Aim 4.2 software) in which the number of 10-μs bins was plotted on the y axis, and photon counts were plotted on the x axis. The resulting histogram depicts the number of bins that registered 1,2,3 … n photon counts during one 10-s observation period. The histograms show the average number of photon counts per 10-μs bin time to be 1.24, equivalent to 124,000 counts/s. Dividing by the average number of molecules in the observation volume (7) yields an average molecular brightness of 17,714 CPSM. The residuals of the curve fit (shown in the lower panels) plot the number of bins on the y axis and photon counts on the x axis. The residuals show the deviation of the fit of the data to the selected model, providing a measure of how well the data fit the model. In this case, the data were fit to a one-component model for a single homogenous population of fluorescence-tagged receptors (i.e. dimers). The residuals of the curve fit are less than 2 S.D. values and are randomly distributed about 0, indicating that the data are a good fit for the selected model, with reduced χ2 equal to unity.
    Figure Legend Snippet: Photon counting histograms from FCS recordings made in the cytosol of HEK293 cells expressing a tandem, GFP-GFP dimeric construct (A) and the plasma membrane of HEK293 cells expressing 5-HT2C/GFP receptors (B). The inset shows the PCH on a linear scale. To generate a histogram, each 10-s fluorescence intensity trace (as illustrated in Fig. 3A) was broken down into 1 million 10-μs intervals or bins (PCH bin time = 10 μs). Histograms were constructed (using the PCH module in the Zeiss Aim 4.2 software) in which the number of 10-μs bins was plotted on the y axis, and photon counts were plotted on the x axis. The resulting histogram depicts the number of bins that registered 1,2,3 … n photon counts during one 10-s observation period. The histograms show the average number of photon counts per 10-μs bin time to be 1.24, equivalent to 124,000 counts/s. Dividing by the average number of molecules in the observation volume (7) yields an average molecular brightness of 17,714 CPSM. The residuals of the curve fit (shown in the lower panels) plot the number of bins on the y axis and photon counts on the x axis. The residuals show the deviation of the fit of the data to the selected model, providing a measure of how well the data fit the model. In this case, the data were fit to a one-component model for a single homogenous population of fluorescence-tagged receptors (i.e. dimers). The residuals of the curve fit are less than 2 S.D. values and are randomly distributed about 0, indicating that the data are a good fit for the selected model, with reduced χ2 equal to unity.

    Techniques Used: Expressing, Construct, Clinical Proteomics, Membrane, Fluorescence, Software



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