Flowjo 7.6.1使用方法
flowjo中文使用手册

flowjo中文使用手册摘要:1.引言2.FlowJo 软件简介3.FlowJo 的使用方法4.案例分析5.总结正文:【引言】FlowJo 是一款专业的中文文本处理软件,适用于各种文本分析和处理任务。
本手册将为您介绍如何使用FlowJo 进行文本分析和处理。
【FlowJo 软件简介】FlowJo 是一款功能强大的中文文本处理软件,主要包括以下功能:1.文本清洗:可以去除文本中的多余空格、换行符等无关信息。
2.分词:将文本切分成有意义的词汇。
3.词性标注:为切分后的每个词汇标注词性。
4.命名实体识别:识别文本中的人名、地名、组织名等实体。
5.依存关系分析:分析词汇之间的关系。
【FlowJo 的使用方法】使用FlowJo 进行文本处理主要分为以下几个步骤:1.安装FlowJo 软件:从官方网站下载并安装软件。
2.打开FlowJo:双击桌面上的FlowJo 图标启动软件。
3.导入文本:点击“文件”菜单,选择“打开”,导入需要处理的文本。
4.预处理:选择“文本清洗”对文本进行预处理。
5.分词:选择“分词”功能对文本进行分词。
6.词性标注:选择“词性标注”功能为分词后的词汇标注词性。
7.命名实体识别:选择“命名实体识别”功能识别文本中的实体。
8.依存关系分析:选择“依存关系分析”功能分析词汇之间的关系。
9.导出结果:处理完成后,选择“文件”菜单,选择“另存为”,导出处理结果。
【案例分析】假设我们有一段中文文本:“小明是北京的一名大学生,他喜欢在周末去颐和园游玩。
”我们可以使用FlowJo 进行如下处理:1.导入文本。
2.对文本进行预处理。
3.分词:“小明/是/北京的/一名/大学生/,/他/喜欢/在/周末/去/颐和园/游玩/。
”4.词性标注:“小明(n)/是(v)/北京的(adj)/一名(num)/大学生(n)/,/他(pron)/喜欢(v)/在(adv)/周末(n)/去(v)/颐和园(n)/游玩(v)/。
flowjomanual说明

Table of ContentsTable of Contents (1)Welcome, new users! (2)Overview (4)What does FlowJo do? (4)Workspace Overview (8)Adding Samples (10)Groups (11)Batch Analysis (13)Statistics (14)Summary of Drag and Drop Examples (16)Unify Analyses (17)Compensation Overview (18)The Experiment Annotator (21)Getting Help in FlowJo (23)Offline Documentation (23)Cancelling Batch Operations (24)Graph Window (25)Axis Labels (26)Graph Types (28)Bivariate displays (28)Gating (29)Platforms (30)Kinetics (30)Derived Parameters (32)Compensation Overview (34)Calibrated Parameters: Overview (37)Kinetics Overview (38)Cell Cycle (42)Proliferation (45)32 Bit Data Settings (48)Output (50)The Layout Editor (51)Copying Graphs (52)Copying Gates (53)Tables (54)Printing (58)FlowJo Menus (59) (59)Preferences (77)Workspace Tab (77)Techniques (81)Techniques (82)Windows Template (83)Table of ContentsWelcome, new users!This page was designed for people new to FlowJo to answer some of the most common questions people have. Please click on a question below to see the answer.What is FlowJo ?What are the software/hardware requirements for FlowJo?How do I get FlowJo?How do I activate my FlowJo demo?How can I buy FlowJo?How do I learn FlowJo?What is FlowJo ?FlowJo is a scientific analysis program for flow cytometric data. Flow cytometry is the study of properties of suspended particles in a liquid. FlowJo is powerful enough to perform comprehensive analyses of thousands of samples simultaneously.Built into FlowJo are a wide array of visualization and gating tools, special platforms for kinetics, cell cycle analysis, quantitation and compensation. FlowJo produces the best publication quality charting available and introduces new technologies for presenting and publishing new data via the web.What are the software/hardware requirements for FlowJo?FlowJo for Macintosh requires a Power PC processor, running OS9.2, Jaguar, Panther or Tiger with at least 128MB RAM and a USB port.FlowJo for Windows requires a Pentium class or higher processor, running Windows 2000 or Windows XP, with at least 512MB RAM and a USB port.The amount of samples FlowJo can open depends on how much memory is installed.How do I get FlowJo?FlowJo can be downloaded (PC, Mac). If our webiste is down, you can request a free CD by calling 800 366 6045 or 541 201 0022. More contact info here. You can use the software free of charge for 30 days if you register.How do I activate my FlowJo demo?Activating your FlowJo demo means you'll be able to use your own data for analysis. Unactivated demos will only let users work with our tutorial data. To activate your license, please fill out and submit the request form and a serial number will be sent to your email address.PC users will open the FlowJo preferences (edit menu item, preferences, look in the lower left for a field labeled "serial number").Mac users will open the "about flowjo" dialog from the apple menu, click "enter new serial number", paste the serial number from your email there, and click "use serial number".How can I buy FlowJo?If you think FlowJo is right for you, you can by all means buy it. Our pricing is here. We only discount prices for Universities (30%) and software resellers (10%).You can order FlowJo online with a credit card or a PO (USA) or fax your order in, or call it in (contact info)How do I learn FlowJo?A good place to start is with the tutorials. The basic tutorial teaches you basic FlowJo operations, suchas adding sample data files, graphing them, and creating simple layouts. The advanced tutorial is longer and addresses complex analysis needs and batching.New to FlowJo?• Table of ContentsOverviewThis page describes some of the basic concepts underlying FlowJo; it is meant to help you familiarize yourself with some of the terminology and the features of FlowJo. As you navigate through the main documentation, you will get more details about all of these topics. In addition, you can follow links to some special topics regarding FlowJo: The all-important Credits page, where we have the opportunity to thank the many individuals who have spent much time and effort helping us make FlowJo the most sophisticated analysis package around, a Frequently-Asked Questions page (FAQ), listing some common questions and answers, a page about getting Help from within FlowJo itself, and a page detailing the history of revisions to FlowJo.What does FlowJo do?FlowJo should be the first step in the process of analyzing flow cytometry data. FlowJo can analyze data generated by any flow cytometer from any manufacturer. FlowJo has a number of different analysis platforms that let you not only perform standard analyses such as gating and statistics, but also specialized analyses such as DNA/Cell Cycle, Kinetics (Calcium flux), Proliferation, Calibration, and Statistical Comparison. You may find that FlowJo's sophisticated tools for generating output (graphical or tabular) are sufficient for you to generate publication-quality material.... but if not, FlowJo makes it easy for you to copy any graphs, statistics, or other information into other programs for further analysis and presentation.Experiments and workspacesFlowJo is a program designed to analyze flow cytometry data. The basic concept behind this analysis is that of the experiment. An experiment is a collection of samples which have a set of common attributes; for instance, there are sets of tubes stained with the same antibodies, other sets of tubes which come from the same tissue sources, etc. An experiment can be a single collection of samples, or it can stretch across multiple runs over a period of months.With FlowJo, you will organize the samples in a workspace. A Workspace is similar to a notebook: it references every sample that you are analyzing, and records the analyses (gates, statistics, graphs, tables) that you have done. You can close the workspace, and then reopen in the future and start where you left off. You can have as many workspaces as you want; the organization is up to you. We recommend that you have at least one workspace for every experiment.Within a workspace, you can group samples by various attributes. For instance, you can make a group of all samples derived from a single individual (which may have different stains); you can also make groups of all samples with the same stains (which come from different individuals). Groups are really the powerful feature of FlowJo: when you perform an operation on a group, it performs the operation on every sample belonging to that group. Thus, you can apply a gate or a statistic to a group, and that gate or calculation will be automatically performed on all samples![Top]Analyzing with FlowJoYou will find that your mode of operating FlowJo will probably be very similar to the following series of steps:Load the samples into a workspace.1.2.Group samples for analysis with common procedures.3.Analyze a single prototype sample in detail. Decide on gates, statistics, etc.4.Apply the appropriate analyses to all the samples in a group.5.Quickly check the samples in the group to make sure the gates are acceptable: they may need minor modifications to accommodate sample to sample variation.6.Generate a graphical layout in which you can display particular graphs from all samples.Generate a table in which you can generate particular statistics from all samples.7.You can then save this workspace as a template... Next week, when you do another (similar) experiment, most of the work is already done for you! You simply have to import the new samples into the template workspace you created before: all of the data files will be added to the appropriate groups, which means all of your previous analyses (gates & statistics, etc.) will be automatically applied to each sample. You need only regenerate the graphical layouts and the tables.[Top]The Gating HierarchyAnother fundamental concept in FlowJo is that of the gating hierarchy. When you first generate a gate on a sample (for instance, a lymphocyte gate), FlowJo shows you this gate (subset) in the paradigm of a genealogical tree. In other words, the Lymphocyte subset is a child of the parent sample. It is shown in the workspace underneath the sample, indented a single level from the sample. If you were to make another gate on the sample (for instance, monocytes) FlowJo will create another new subset as another child of the sample; now, the lymphocyte and monocyte subsets (or gates) are siblings.Any operation that you can perform on a sample can also be performed on a subset of the sample. Therefore, you can view the lymphocyte subset and create gates (subsets) of this population. If you create a T cell gate within lymphocytes, then the T cell subset becomes a child of the lymphocytes (and, by extension, a grandchild of the sample).This paradigm is very important to the way in which FlowJo operates. When you copy analyses like gates, you can choose to copy only the single gate that you click on, your you can choose to copy it with all of its children (i.e., copy the entire analysis tree). You can copy the gate with its parents as well. Remember, any subpopulation is a single gate. When you want to recreate the same subpopulation on another sample, you need to carry all of the gates (all of the ancestors of the subset) with the subpopulation when you copy it.[Top]Batch operationsBatch operations (repetitive analyses performed on multiple samples) are very simple in FlowJo. In general, batch operations are performed on all samples in the currently selected group (therefore, you will want to create sample groups that will serve to help you generate batch outputs). Batch operations include copying gates and analyses, generating graphical layouts, and generating tables. In addition, there are some minor operations like opening a graph of a subset as you are viewing from all samples in the group, unifying the analyses across samples within a group, deleting analyses, and so forth.In this way, FlowJo is a program that doesn't just analyze individual data samples. Rather, the focus is on analyzing groups of samples, experiments, or even multiple experiments at once.CompensationIn the world of increasing fluorescence parameters, it has become impossible to fully compensate samples at the time of collection. FlowJo provides an interface for computing the compensation matrix based on the collection of singly-stained samples. You can then apply this compensation matrix to samples that are uncompensated. At this point, you can view and analyze the compensated data.[Top]Derived ParametersFlowJo lets you define new parameters for samples. These include the ability to add Time as a parameter (for performing kinetics analyses), to compute the ratio of two collected parameters, or to convert between log and linear scaling. Derived parameter definitions can be copied to entire groups of samples.Kinetics (Ca++ flux) analysesFlowJo provides a sophisticated platform designed to analyze kinetics data. The sample must have a parameter which corresponds to time (and is named "Time"); if it does not, FlowJo allows you to create a time parameter (assuming a constant event rate). From this platform, you can compute the maximal response time, the slope of a response, the fraction of responding cells, etc.[Top]Cell Cycle AnalysisThe Cell Cycle Platform is easy to use, yet can view several different models simultaneously, constrain fitting parameters, and automatically calculate the percentage of cells in G1, S, or G2 peaks. Fitting can be constrained in a number of ways, letting you generate reasonable interpretations of even very unusual cell cycle distributions. All models can be copied between populations or samples, with the same easy drag and drop interface used to propagate other gates or analyses.Calibration (Quantitation)FlowJo has a unique Calibration Platform that allows you to calibrate any collected parameter. Most commonly, this is used to convert the scaling into absolute number of molecules (given a standard that converts between the fluorescence intensity collected on your instrument and absolute numbers of fluorophores). The platform can use a calibrated bead set as a standard, a stained sample as a reference, or numbers that you enter to define the calibration manually.[Top]Proliferation AnalysisThe Proliferation Platform is used to model proliferation data obtained using cell tracking dyes such as CFSE. FlowJo presents a graphical display as well as information about each generation in the subset. The proliferation platform also provides information about the fraction of cells from the original population that have divided, and the number of times these cells have divided. In addition the FlowJo Proliferation Platform draws gates that separate each generation.Movies•Movies. An analysis platform unique to FlowJo: view your data dynamically. Use the Movie Platform to generate graphs as a function of time (kinetic analyses), or to generate a graph of one or two parameters as a function of a third. This unique visualization lets you uncover subtle relationships in your data that would be impossible to see otherwise.Backgating AnalysisOnce your analysis contains subpopulations produced by gating within gates, it can be useful to see the source of a given subpopulation rendered graphically. Backgating analysis shows graphs of each gating operation with the final subpopulation highlighted in the graph of each stage.Statistics and FormulasA host of standard statistical calculations can be performed on a subpopulation then generalized to the whole experiment by batching. FlowJo will build a table of statistical analyses across groups of tubes that you designate. These tables update continuously as long as you are modifying your experiment, for example, by correcting gates. You can export these tables and work further in third party software. You can also devise and apply your own formulas within FlowJo and use its tools to complete your analysis across multiple populations without tedious duplication of effort. The tables you create can be dragged and dropped from one workspace to another.[Top]OverviewWorkspace OverviewFlowJo organizes all of your analyses into a "workspace". The workspace contains the following information:•A list of all the samples that you have put into the workspace•A list of all the groups that you have created•All of the analyses (and results of calculations)•All compensation matrices that you have created or loadedAll table definitions that you created••All layout definitions that you createdThis information is at your fingertips through the workspace window.Your workspace is like your laboratory notebook. You can save it, and then re-open it in the future and continue your analyses from where you left off. It will remember everything that you do (although you can choose to delete analyses or samples and they will be forgotten). Workspaces can become templates for batch analyses of many experiments--you can load as many samples as you wish into a single workspace.How you organize your workspaces is up to you. We recommend that you assign each experiment a workspace. Remember that you can copy analyses between workspaces; there is no limitation imposed by maintaining multiple workspaces. Of course, all batch analyses are limited to samples within a single workspace, so you will want to keep all similarly-analyzed samples (even from different experiments) in the same workspace. You may have as many workspaces open at the same time as you wish.For an explanation of the elements of the window, click here.Workspaces: an overview• Table of ContentsGroupsGroups are the heart of all the powerful tools in FlowJo. A group is a collection of samples-and a mechanism by which analyses can be applied uniformly to that collection of samples. Any given sample may belong to one or more groups. FlowJo lists the groups in the upper portion of the workspace window.There is a special case group: the "All Samples" group. It contains (by definition) all of the samples known to the workspace. The "All Samples" group can neither be renamed nor deleted.Groups are created in one of two ways:(1) When you read in a folder of data files, FlowJo creates a group with the name of the folder and automatically adds the samples to the group; or(2) You can create a new group by clicking on the New Group button under the Workspace menu.When you create the group, you are given the option of adding samples to the group which fit a set of criteria-this is specified by the Create Group dialog window. In addition, you can specify that these criteria should be checked anytime new samples are added to the workspace: if the new samples meet those criteria, they are added to the group (and group-based analyses are automatically performed at once.)You can add samples from the workspace to any group. Just click on the sample and drag it to the group. To remove a sample from a group, select the group, then select the sample and press the delete key. If the current group is All Samples and you delete the sample, then you will be permanently removing the sample from the workspace.A group behaves in some ways as a "template sample" for its members. In other words, you can drag gates or statistic nodes to a group exactly the same way as you would to another sample. The only difference is that these gates, after being added to the group, are then added to every sample belonging to the group. This is one of the ways in which FlowJo performs batch analyses. For hints on creating groups to efficiently use this feature, click here.There is one unbreakable rule with regards to groups: Every sample belonging to a group must contain every analysis that has been applied to the group. Of course, if the group specifies analyses that are not applicable to the sample, then this doesn't happen. (For example, if you have created a gate based on compensated parameters, and a sample that is not compensated is added to the group, then those gates cannot be added to that sample. Once you compensate the sample, however, the gates will be automatically added.)If a sample belongs to multiple groups, then it will have all of the analyses from all of the groups to which it belongs. Whenever you add a sample to a group (by dragging it into the group), that group's analyses are automatically applied to the sample.Associated with group names is a color and text style. A gate that is attached to a sample through a group operation appears in the same color and style as that group. Therefore, any gate within a sample that has a group's color and style is guaranteed to be identical to the group's version of that gate. When you change a group's version of a gate (by dragging a new version of that gate onto the group or if you have the Synchronize Group's Gates option checked), then all samples with the group'sversion of the gate are likewise updated.If you modify a sample's version of a group's gate (for instance, if you decide that a lymphocyte gate for one sample should be slightly different and you move it), then that gate will now appear in the workspace window in black and plain text (unlike the group's gates). This is how you can tell from the text when a gate has been modified. However, if you checked the Synchronize Group's Gates option when you created the group, any time you modify a gate on any sample, the group's gate is automatically updated.Note that modified gates will still behave in other ways like group gates: when you attach asubpopulation to a group's gate, it will be attached to the same gate in all samples, whether or not they are identical to the group's version of the gate.If you have modified a gate and decide later that it should be identical to the group's version, you can select the gate and choose the Unify analyses option under the Workspace menu. Likewise, if you select a gate within a group and choose this menu option, then all sample's versions of this gate are made identical to the group's version.How do you know what the group's version of a gate looks like? Simply open any sample which has the group's version of the gate (i.e. the node is displayed in the color and text style of the group). If you change this sample's gate (move it), then you are only changing that sample's version. To change the group's version, drag the node back onto the group after you have made the modification or if you checked the Synchronize Group's Gates option when creating the group, the update happens automatically.If a sample belongs to multiple groups which all have an analysis of the same name, then the sample's version of the gate will be whichever one it got first.Deleting nodes associated with groups have special consequences:If you delete the node in the group itself, then it is removed from the group. You are then asked if you want to remove the same nodes from all of the samples; if you choose not toremove them from the samples, they are left alone (but they are then owned by thesamples-i.e., drawn in black and plain text-since they no longer belong to a group).♦ You cannot delete a sample's node which is identical to the group's node, since every sample must have every analysis belonging to the groups that it is in.♦ If you delete a node which is a modified version of the group's node, then FlowJo will replace it with the original, group's version of the node.♦ If you delete a sample from a group, then it is removed from the group but all analyses which came from the group are still applied to the sample (but they are now owned by the sample,not the group).♦ If you delete a group, then all of the group's analyses nodes are assigned to the samples.♦ If you rename a sample's version of a group node, then a copy of that node is made with the new name, and the sample will retain a node with the same name as the group's node.♦ Groups• Table of Contents•Batch AnalysisThe real power of FlowJo as an analysis tool becomes immediately evident when you start to do "batch" analysis; i.e., the repeated application of a set of analyses (gates, statistics, graphical outputs) to a series of samples.Application of analyses to other samples is very easy: simply click once on the analyses that you wish to duplicate, and while holding down the mouse button - drag them to the destination sample. You can select a single gate (by clicking), or select several independent gates (by shift-clicking and dragging any of the selected gates).You can also apply a set of analyses to all samples within a group simultaneously. Simply drag the analyses trees onto the group. They are attached to the group itself, and then attached to each sample that belongs to the group (assuming the analysis is valid for that sample). By using these kinds of group analyses, you can assure that all samples are being analyzed identically. When you change a group's version of an analysis (by dragging a new version of a gate onto the group), then all samples belonging to the group will be automatically updated with the new copy (with the exception of those samples which have "special" versions of such gates). These operations are fully explained in the pages on group analyses .Another kind of batch analysis is the extraction of statistical information from a series of samples. This is accomplished through the table editor. Using the table editor, you specify what sorts of statistical information you wish to collect for each sample. Then you create the table for the current group; FlowJo allows you to save the table to a file (which you can export into a spreadsheet), to the clipboard (so you can copy it directly into a spreadsheet), or print it out. In addition, FlowJo will save the table AND open your favorite spreadsheet program AND copy the table into this program - all with a single click! Table definitions are saved with the workspace so that you can use them again in the future.The final type of batch analysis is the extraction of graphical displays for a series of samples. For this, you use the layout editor. The layout editor allows you to arrange several graphs on a drawing board. This graphical layout is then applied to the series of samples in the current group; the result can be saved to a disk file (PICT format), copied into other applications (such as Canvas), or printed.Template workspaces save all the analyses (gates and statistics), table definitions and layout definitions while removing the samples. Because FlowJo saves all of this information in the workspace, it is a simple matter to read new samples into the same workspace that has been saved as a template and then apply the same batch analyses to those samples.A batch is composed of a series of tasks. The task is the unit of computation; that is the generation of each statistic or graph, sorting of a list etc. FlowJo can execute tasks asynchronously, meaning that you do not have to wait for all pending tasks to complete before interacting with the program. You can even initiate new tasks while others are being completed, so that the amount of time you have to spend waiting for the program is minimized. Because the tasks can also be sorted in such a way as to reduce the loading and unloading of files, the asynchronous processing can actually be faster than giving all of the computing resources to handling pending computations.See Also: Groups , Layout Editor , Table EditorBatch analysisTable of Contents •Statistics•Summary of Drag and Drop ExamplesThis series of examples is based on a workspace in which there were several samples collected from different people. These samples were stained with CD4, CD8, and differentiation markers. The first sample was analyzed in detail and gates were generated to define several T cell subsets.A series of drag operations using different modifier keys will serve to show how drag and drop can be used to replicate analyses between samples. (This information applies equally to performing operations on groups, but the resulting behavior may be somewhat different. This is discussed fully in the help on groups).You may go through each of the examples in sequence, or jump straight to a specific example:Dragging a single node•Dragging a node with its children•Dragging a node with its parents••Dragging multiple nodesDragging multiple nodes with children and parents••Replacing existing nodesThese examples are all based on copying analysis nodes from one sample to another. However, the same options are available for dragging within a single sample, and for dragging to the table editor or the layout editor.Summary:To select more than one analysis node, use the command key to select additional nodes. (Use shift key if you want to select a range of nodes that are all siblings).To take an entire analysis tree, click on the top-most node of the set of nodes you wish to take, and drag with the option key down (select all children).To take only a single analysis node with all the gates used to create it, select that node and drag with the control key down (select all parents).Thus, judicious use of selection and the modifier keys allows you to drop only the portion of the original analysis tree that you want to move.Dragging and dropping (copying) analysis nodes & trees。
flowjo中文使用手册

flowjo中文使用手册摘要:一、FlowJo软件简介二、FlowJo中文使用手册的作用三、FlowJo基本操作流程四、FlowJo高级功能与应用五、FlowJo的优化与拓展六、软件使用注意事项七、结论与展望正文:FlowJo是一款流式细胞术数据分析和处理的软件,广泛应用于生物学、免疫学等领域。
FlowJo中文使用手册旨在为我国科研人员提供更便捷、高效的软件操作指导。
本文将详细介绍FlowJo的基本操作流程、高级功能与应用,以及优化与拓展方法。
同时,提醒用户在使用过程中注意一些关键问题,以充分发挥软件的优势。
一、FlowJo软件简介FlowJo软件由美国Dako公司开发,是一款功能强大的流式细胞术数据分析软件。
FlowJo能够满足科研人员在数据处理、分析、可视化等方面的需求,具有高度的灵活性和广泛的应用范围。
二、FlowJo中文使用手册的作用FlowJo中文使用手册为用户提供了一个详细的操作指南,帮助用户更快地熟悉软件功能,提高工作效率。
通过本文,用户可以了解到FlowJo软件的各项功能及实际应用场景,为科研工作提供有力支持。
三、FlowJo基本操作流程1.数据导入:将流式细胞术实验数据导入FlowJo软件。
2.数据预处理:对数据进行质量控制、筛选和归一化。
3.数据分析:利用FlowJo内置的统计方法和算法,对数据进行深入分析。
4.数据可视化:将分析结果以图表、堆叠图等形式展示。
5.结果导出:将分析结果导出为常用的文件格式,如Excel、TIFF等。
四、FlowJo高级功能与应用1.聚类分析:运用FlowJo的聚类算法,挖掘数据中的潜在规律。
2.机器学习:利用FlowJo内置的机器学习算法,对细胞亚群进行自动分类。
3.生物信息学分析:结合外部数据库,对细胞表面标志物进行功能注释。
4.动态追踪:实时监测细胞在实验过程中的变化,揭示细胞动态行为。
五、FlowJo的优化与拓展1.参数优化:根据实际需求,调整FlowJo软件的参数设置,提高数据分析效果。
flowjo中文使用手册

flowjo中文使用手册
FlowJo是一款由美国斯坦福大学Leonard Herzenberg(FACS机器的发明者)实验室在90年代研发的流式数据分析软件。
以下是它的中文使用手册部分内容:
1. 安装:下载安装程序,双击安装;
2. 运行:安装完成后,双击桌面快捷方式运行程序;
3. 许可证:如果有加密狗,可直接使用;如果没有,可以申请试用版或者购买许可证;
4. 演示模式:如果是演示版,可以点击"Demo FlowJo"运行演示模式。
实际的使用手册可能会因软件的版本不同而有所差异。
如果需要更详细的信息,请查看FlowJo官方网站或联系该软件的客服团队。
flowjo使用教程

flowjo使用教程
FlowJo是一款用于流式细胞仪数据分析的软件。
本教程将介绍如何使用FlowJo完成一般的数据分析任务。
下面是具体的步骤:
1. 导入数据:首先,打开FlowJo,并选择“文件”>“导入”>“样本”。
在弹出的对话框中,选择要分析的数据文件,并点击“打开”按钮导入数据。
你也可以将多个数据文件同时导入,FlowJo会自动整合它们。
2. 创建样本组:为了方便分析,可以将不同样本分组。
点击左侧的“样本列表”面板上的“新建组”按钮,输入组名,并将相关样本拖拽到该组。
3. 绘制双变量散点图:选择要绘制散点图的样本组,并点击工具栏上的“散点图”按钮。
在弹出的对话框中,选择要绘制的两个参数,并点击“确定”。
这样会生成一个散点图,展示两个参数之间的关系。
4. 设置参数门:对于某些实验,可能需要定义参数门来选择感兴趣的细胞群体。
点击工具栏上的“参数门”按钮,在弹出的对话框中选择要使用的参数,并设置阈值或绘制多变量登高图来创建门。
5. 运用统计方法:FlowJo提供了多种统计方法,如均值、中位数、百分位数等。
选择要分析的样本组,点击工具栏上的“统计”按钮,在弹出的对话框中选择要计算的统计方法,并点
击“确定”。
6. 生成报告:分析完成后,可以生成报告以便保存和分享。
点击工具栏上的“报告”按钮,选择要包含的图表、表格和统计信息,并点击“生成报告”。
在弹出的对话框中选择保存路径和文件名,并点击“保存”。
这些是使用FlowJo进行基本数据分析的步骤。
希望对你有所帮助!。
FlowJo软件的简单介绍和基本应用

FlowJo软件的简单介绍和基本应用什么是FlowJo?FlowJo是用于细胞分析和流式细胞术数据分析的软件,可以帮助研究人员进行流式细胞术实验数据处理和分析。
它可以用于单倍体、双倍体和多倍体细胞的分析。
FlowJo软件的基本应用导入数据在FlowJo中,导入数据很容易。
用户可以把数据文件拖拽到软件中,也可以使用“文件”选项来选择数据文件。
创建分析模板创建分析模板可以帮助流式细胞术研究人员快速进行复杂数据集的分析。
我们可以创建简单的门或更复杂的分析模板,以满足我们的需求。
FlowJo还提供了许多默认的分析模板,以便用户可以快速执行一些基本的细胞分析。
数据分析拥有了数据和分析模板后,我们可以进行各种数据分析。
一些主要的分析包括细胞计数、单元格子集的分离以及血细胞分析,等等。
FlowJo还具有高级功能,例如细胞周期、细胞凋亡、荧光蛋白、药物筛查等等。
生产图表和表格使用FlowJo,分析结果可以轻松创建丰富的图表和表格。
FlowJo提供了各种统计工具,方便我们获得更深入的数据分析结果。
数据导出分析数据后,我们还可以将结果通过FlowJo导出为多种数据格式,例如FCS文件、表格、图像和PDF文件。
FlowJo还可以将文件直接导出到共享文件夹,以便与同事分享具有访问权限的数据。
FlowJo的优点处理大量数据FlowJo可以同时分析数万个单元格的数据,并根据分析模板和用户设置对其进行分类、排序和筛选。
易于使用FlowJo提供了许多内置的分析模板,使用户可以轻松地对数据运行基本的分析。
同时,该软件还具有大量的指南、视频教程和支持论坛,以帮助用户更好地理解和使用软件。
可视化功能强大FlowJo具有功能强大的可视化功能,用户可以根据分析结果创建多种图表,并进一步分析数据。
结论FlowJo是一种强大的工具,可以支持细胞分析和流式细胞术数据分析。
FlowJo 的易用性、可视化功能和高效数据处理,使其在生物医学研究领域得到了广泛的应用。
FlowJo分析细胞增殖

注册 |登录构建全球华人科学博客圈返回首页 RSS 订阅 帮助 FlowJo 分析细胞增殖已有 521 次阅读 2012-8-21 14:20 |个人分类:FlowJo 使用|系统分类:科研笔记|关键词:细胞增殖,数据分析,FlowJo ,CFSE ,博文FlowJo 分析细胞增殖CFSE 法检测细胞增殖的原理:CFSE(CFDA-SE)是一种可对活细胞进行荧光标记的细胞染色试剂,CFSE 进入细胞后可以不可逆地与细胞内的氨基结合偶联到细胞蛋白质上。
在细胞分裂增殖过程中,CFSE 标记荧光可平均分配至两个子代细胞中,因此其荧光强度是亲代细胞的一半。
演示数据:Proliferation tutorial :实验中所用的荧光染料为eFluor ® 670 Proliferation Tutorial Data.rarFlowJo 分析细胞增殖的步骤:1. 确定要分析的目标细胞群(下图为演示数据中的样本Sample 1)2. 打开增殖分析平台:到“工具”菜单栏中选择“细胞增殖”,打开增殖分析平台,将参数轴中的参数更换为本实验中所采用的APC_A::670Dye ,如下图所示:张千君加为好友 给我留言 打个招呼发送消息FlowJo 中文技术博客分享/u/FlowJo流式细胞技术相关资源分享,流式细胞数据分析,流式技术支持及培训博客首页动态记录博文相册主题分享好友留言板个人资料左边为拟合结果图,右边为各个统计数据,其中:RMS: root mean square error的缩写,反映的是拟合结果与实际数据的吻合程度,RMS数值越小,说明拟合结果越好。
3.打开增殖分析平台左下角的“Options”选项选项中各个参数的介绍:#Peaks:增殖峰的数目,默认的最大数目为8个。
随着细胞的分裂,子代细胞所含的CFSE荧光染料的量以2倍的比例递减,分裂到第七代的时候,第七代细胞的CFSE荧光强度只有原代细胞的1/128,可能低于细胞的自发荧光。
flowjo中文使用手册

flowjo中文使用手册摘要:1.引言2.FlowJo 的使用方法3.FlowJo 的功能介绍4.常见问题及解决方案5.结论正文:【引言】FlowJo 是一款用于中文文本处理的人工智能助手,可以帮助用户进行文本分析、生成、翻译等操作。
本手册将为您详细介绍如何使用FlowJo,以及它的功能和使用方法。
【FlowJo 的使用方法】1.下载与安装:首先,您需要在官方网站上下载FlowJo,并按照提示进行安装。
安装完成后,打开FlowJo 客户端,即可开始使用。
2.注册与登录:在第一次使用FlowJo 时,您需要注册一个账号并登录。
注册时,请务必使用常用邮箱和密码,以便在忘记密码时进行找回。
3.导入与分析文本:登录后,您可以选择导入文本文件或直接输入文本进行分析。
FlowJo 支持多种文本格式,如.txt、.docx、.pdf 等。
【FlowJo 的功能介绍】1.文本分析:FlowJo 可以对输入的文本进行情感分析、主题分析、关键词提取等操作,帮助您快速了解文本内容。
2.文本生成:FlowJo 可以根据用户输入的关键词或主题,生成与之相关的文章、诗歌等文本。
3.文本翻译:FlowJo 支持多种语言之间的翻译,包括中英、中日、中韩等。
4.文本纠错:FlowJo 可以对输入的文本进行语法检查和纠错,帮助您提高写作质量。
【常见问题及解决方案】1.问题:导入的文本无法分析。
解决方案:请检查导入的文本格式是否正确,或尝试重新导入。
2.问题:生成的文本质量不高。
解决方案:请提供更具体的关键词或主题,或尝试提高生成文本的质量等级。
3.问题:翻译结果不准确。
解决方案:请检查输入的文本是否存在歧义,或尝试提高翻译的质量等级。
【结论】FlowJo 是一款功能强大的中文文本处理助手,可以帮助用户快速处理文本,提高写作效率。
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Flowjo 7.6.1软件使用方法
1.在桌面上建立新的文件夹,将需要分析的样本复制到文件夹内(一个文件夹内放一个指标的所有样本,便于统一操作);
2.运行软件
3.将桌面上的新建文件夹拖入Flowjo内(Drag Samples Here)
4两种方法处理
以Th17细胞(CD4/FITC,IL-17A/PE)为例
方法一:圈阳性细胞(更适用于两标记)
设置阴性对照样本
双击阴性对照样本(一般编号为001)出现以下窗口
4.1依次单击T→Use Log Axis,横轴、纵轴同样操作,出现细胞4.2圈细胞:单击上面的正方形(或者椭圆或者四边形),在细胞上圈出较明亮的区域(无需更改命名)
4.3双击以上所圈细胞,弹出另一窗口
4.4选通道1:依次单击纵轴→Comp-FL1:: FL1 Log(1通道)
依次单击横轴FS:FS Lin,出现以下窗口
4.5圈CD4+T细胞细胞:用同样的方法在细胞群上方圈出CD4阳性区域),并命名为CD4,如下:
4.6圈IL-17A阳性细胞:双击以上所圈细胞,弹出另一窗口。
用以上同样的方法圈出IL-17A阳性的T细胞,得到如下图
以上便为阴性对照的设置过程(注:因此样本为阴性对照,须保证双阳(CD4+ IL-17A)比率均小于1%(或2%))
5平行操作所有样本:将阴性对照的结果拖至上面的All Samples中,此时所有样本即被分析,如下:
方法二:画象限
设置阴性样本
4.1同上
4.2同上
4.3同上
4.4选通道1:依次单击纵轴→Comp-FL1:: FL1 Log(1通道)
选通道2:依次单击纵轴→Comp-FL2:: FL2 Log(1通道)出现以下窗口:
4.5画象限:如下
注:保证双阳性区域值Q2小于1%(或2%)
5平行操作所有样本:将阴性对照的结果拖至上面的All Samples中,此时所有样本即被分析,如下:
(注:拖的是第一个样本标记的指标(CD4,IL-17A),而不是样本编号)
若为三种标记如Treg细胞(CD4/FITC,CD25/APC,Foxp3/PE),也应该用画象限的方法:先设置通道1,双击阳性区域后,在弹出的新窗口内设置通道2和通道4,这样就可以画象限找出三阳性区域了。
6.保存:依次点击File→Save to Excel以表格的形式保存到指定位置待作具体分析。
备注:1通道-FITC
2通道-PE
3通道-
4通道-APC
5通道-percyp7。