Issue Information

{"title":"Issue Information","authors":"","doi":"10.1002/cptx.82","DOIUrl":null,"url":null,"abstract":"<p><b>Cover</b>: In Dikovskaya and Dinkova-Kostova et al. (http://doi.org/10.1002/cptx.96), the image shows <b>(A</b>) Data processing pipeline for an individual FLIM measurement. A fluorescence lifetime data file acquired with SPCM software that contains fluorescence decay measurements is first processed in SPCImage to determine a value of fluorescence lifetime in each pixel, using a 1-component exponential decay fitting. The data are exported from SPCImage as two files, “<span>_photons.asc</span>” containing photon numbers in pixel positions and “<span>_t1.asc</span>” containing fluorescence lifetime values in pixel positions. The “<span>_photons.asc</span>” file depicting cell morphology is imported to ImageJ/FIJI, and areas of interest, such as entire cell, cytoplasm, or nucleus, are outlined within this file. For each area of interest, a new text image file is generated in which all values outside selected areas are set to zero. These files and the “<span>_t1.asc</span>” file are further combined within the FLIM DAtaSet Tool (FLIMDAST) that assembles the data into a 3D array, and generates scatterplots of fluorescence lifetime versus photon number in corresponding non-zero pixels of the cellular image, with optional color-coding for different cellular areas. (<b>B</b>) Visualization and calculation of fluorescence lifetime changes in FLIMDAST. The data from the same repeatedly measured cell are first processed as in A, and the 3D arrays representing individual cellular measurements are assembled together and displayed as an overlay of fluorescence lifetime versus photon number scatterplots. The change in fluorescence lifetime is apparent as a vertical shift of the entire distribution. To quantify this shift, a local polynomial regression (LOESS) curve is fitted to each dataset (red and dark blue lines), and the average difference between reference and non-reference curves is determined within the range of photon numbers common to both distributions after removing the brightest 0.5% and the dimmest 0.5% of the pixels from each dataset (gray shaded area), as illustrated in the “quantification of change compared to reference” panel. This produces a single value of change in the fluorescence lifetime from the reference measurement for each non-reference measurement. (<b>C</b>) Analysis of the entire time-course experiment within FLIMDAST. The FLIM data from multiple cells for multiple experimental conditions repeatedly collected throughout the time course are located and assembled within FLIMDAST, and each measurement is assigned a reference to which it will be compared. Several measurements of the same cell can share the same reference, as depicted in the “multiple data assembly” panel. The entire experiment is processed at once, to generate overlay scatterplots similar to that in B, as shown in the “multiple data visualisation” panel. The changes in fluorescence lifetimes are also quantified at once for all measurement-reference pairs in the entire experiment, using the same algorithm as in B, and is provided as a table, as illustrated in the “multiple data quantification” panel.\n\n <figure>\n <div><picture>\n <source></source></picture><p></p>\n </div>\n </figure></p>","PeriodicalId":72743,"journal":{"name":"Current protocols in toxicology","volume":"85 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/cptx.82","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current protocols in toxicology","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cptx.82","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

Cover: In Dikovskaya and Dinkova-Kostova et al. (http://doi.org/10.1002/cptx.96), the image shows (A) Data processing pipeline for an individual FLIM measurement. A fluorescence lifetime data file acquired with SPCM software that contains fluorescence decay measurements is first processed in SPCImage to determine a value of fluorescence lifetime in each pixel, using a 1-component exponential decay fitting. The data are exported from SPCImage as two files, “_photons.asc” containing photon numbers in pixel positions and “_t1.asc” containing fluorescence lifetime values in pixel positions. The “_photons.asc” file depicting cell morphology is imported to ImageJ/FIJI, and areas of interest, such as entire cell, cytoplasm, or nucleus, are outlined within this file. For each area of interest, a new text image file is generated in which all values outside selected areas are set to zero. These files and the “_t1.asc” file are further combined within the FLIM DAtaSet Tool (FLIMDAST) that assembles the data into a 3D array, and generates scatterplots of fluorescence lifetime versus photon number in corresponding non-zero pixels of the cellular image, with optional color-coding for different cellular areas. (B) Visualization and calculation of fluorescence lifetime changes in FLIMDAST. The data from the same repeatedly measured cell are first processed as in A, and the 3D arrays representing individual cellular measurements are assembled together and displayed as an overlay of fluorescence lifetime versus photon number scatterplots. The change in fluorescence lifetime is apparent as a vertical shift of the entire distribution. To quantify this shift, a local polynomial regression (LOESS) curve is fitted to each dataset (red and dark blue lines), and the average difference between reference and non-reference curves is determined within the range of photon numbers common to both distributions after removing the brightest 0.5% and the dimmest 0.5% of the pixels from each dataset (gray shaded area), as illustrated in the “quantification of change compared to reference” panel. This produces a single value of change in the fluorescence lifetime from the reference measurement for each non-reference measurement. (C) Analysis of the entire time-course experiment within FLIMDAST. The FLIM data from multiple cells for multiple experimental conditions repeatedly collected throughout the time course are located and assembled within FLIMDAST, and each measurement is assigned a reference to which it will be compared. Several measurements of the same cell can share the same reference, as depicted in the “multiple data assembly” panel. The entire experiment is processed at once, to generate overlay scatterplots similar to that in B, as shown in the “multiple data visualisation” panel. The changes in fluorescence lifetimes are also quantified at once for all measurement-reference pairs in the entire experiment, using the same algorithm as in B, and is provided as a table, as illustrated in the “multiple data quantification” panel.

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在Dikovskaya和Dinkova-Kostova等人(http://doi.org/10.1002/cptx.96)中,图像显示了(A)单个FLIM测量的数据处理管道。使用SPCM软件获得的荧光寿命数据文件包含荧光衰减测量,首先在SPCImage中处理,以确定每个像素的荧光寿命值,使用1分量指数衰减拟合。数据从SPCImage导出为两个文件,“_光子。包含像素位置的光子数和_t1。包含在像素位置的荧光寿命值。“_photons。描述细胞形态的asc”文件被导入到ImageJ/FIJI中,感兴趣的区域,如整个细胞、细胞质或细胞核,在该文件中勾画出来。对于每个感兴趣的区域,将生成一个新的文本图像文件,其中所选区域之外的所有值都设置为零。这些文件和“_t1。asc”文件在FLIM数据集工具(fllimdast)中进一步组合,该工具将数据组装成3D阵列,并在细胞图像的相应非零像素中生成荧光寿命与光子数的散点图,并对不同的细胞区域进行可选的颜色编码。(B) fllimdast荧光寿命变化的可视化和计算。来自相同重复测量细胞的数据首先处理如A中所示,代表单个细胞测量的3D阵列被组装在一起,并显示为荧光寿命与光子数散点图的叠加。荧光寿命的变化作为整个分布的垂直位移是明显的。为了量化这种变化,将局部多项式回归(黄土)曲线拟合到每个数据集(红色和深蓝色线),并且在从每个数据集(灰色阴影区域)中去除最亮的0.5%和最暗的0.5%像素后,在两个分布共同的光子数范围内确定参考和非参考曲线之间的平均差异,如“与参考相比的变化量化”面板所示。这在每个非参考测量的参考测量中产生荧光寿命的单一变化值。(C) fllimdast内整个时程实验分析。在整个时间过程中反复收集的多个实验条件下的多个细胞的FLIM数据被定位并组装在fllimdast中,每个测量值都被指定为一个参考值,以便进行比较。同一单元的多个测量值可以共享相同的参考值,如“多数据组装”面板所示。整个实验一次处理,生成类似于B的叠加散点图,如图“多数据可视化”面板所示。在整个实验中,使用与B中相同的算法,对所有测量参考对的荧光寿命变化也进行了一次量化,并以表格的形式提供,如“多数据量化”面板所示。
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