Renfong's Page

 all the env would be listed in users/current_user/.conda/environments.txt the content is : C:\ProgramData\miniconda3 C:\ProgramData\miniconda3\envs\GMS_VENV_PYTHON C:\ProgramData\Miniconda3\envs\GMS_VENV_PYTHON C:\ProgramData\Miniconda3\envs\em C:\ProgramData\Miniconda3\envs\tf

https://github.com/Renfong/dm-script-tool/blob/master/UI_Template_2.s // Interactive UI template // // 2021/05/06 // Renfong interface call_functions{ number GetBoxNumber(object self); }; class UI_Functions : object { number true, false number UIObjectID object MainUI void SetUIObjectID(object self, number id) { UIObjectID = id MainUI = GetScriptObjectFromID(UIObjectID) }; UI_Functions(object self) { true = 1; false = 0 result("Obect \"UI_Functions\" ["+self.ScriptObjectGetID()+"] constructed. \n") }; ~UI_Functions(object self) { true = 1; false = 0 result("Obect\"UI_Functions\" ["+self.ScriptObjectGetID()+"] deconstructed. \n") }; void btn1response(object self) { number num = MainUI.GetBoxNumber() OKdialog("Number = "+num) }; }; class MainUI : UIFrame { TagGroup btn1, numbox object UI_Functions number true, false, ver MainUI(object self){ true = 1...

PCA is the popular statistic tool to denoise the EELS spectrum image. Here is the simple example to apply PCA by numpy package ================================== """ ref: https://stackoverflow.com/questions/13224362/principal-component-analysis-pca-in-python/49629816#49629816 @author: renfong """ import numpy as np import matplotlib.pyplot as plt import hyperspy.api as hs from numpy import argsort from numpy.linalg import eigh #%% load data data = hs.load('t1.dm3').data #%% define pca def pca(data, pc_count = None):     """     Principal component analysis using eigenvalues     note: this mean-centers and auto-scales the data (in-place)     """     C = np.dot(data.T, data)       # covariance matrix     E, V = eigh(C)     key = argsort(E)[::-1][:pc_count]     E, V = E[key], V[:, key]     U = data @ V  # equvalent to np.dot(data, V)     return U, E, V #%% reconstruc...

 // Pushbutton UI template // // 2021/04/21 // Renfong class UI_Handler : object { number true, false number UIObjectID void SetUIObjectID(object self, number id) { UIObjectID = id }; UI_Handler(object self) { true = 1; false = 0 result("Obect \"UI_Handler\" ["+self.ScriptObjectGetID()+"] constructed. \n") }; ~UI_Handler(object self) { true = 1; false = 0 result("Obect\"UI_Handler\" ["+self.ScriptObjectGetID()+"] deconstructed. \n") }; void btn1response(object self) { OKdialog("This is a template") }; }; class MainUI : UIFrame { TagGroup btn1 object UI_Handler number true, false, ver MainUI(object self){ true = 1; false = 0; ver=0.1; UI_Handler = alloc(UI_Handler) result("Obect \"MainUI\" ["+self.ScriptObjectGetID()+"] constructed. \n") }; ~MainUI(object self){ result("Obect \"MainUI\" ["+self.Scr...

 #%% load package import numpy as np import matplotlib.pyplot as plt #%% example 1: simple second order fitting # assume y=2x**2 xx = np.arange(-3,3,step=0.2) yy = 2*xx**2  yy +=  (np.random.random(len(xx))-0.5)  # add noise plt.figure(1, dpi=150) plt.plot(xx, yy, 'ro') # curve fitting lin_fit = np.polyfit(xx, yy, 2) print(lin_fit) x2 = np.arange(-3,3,step=.01) y2 = np.polyval(lin_fit, x2) plt.figure(1) plt.plot(x2,y2, 'k') plt.legend(['raw data','fitting curve']) plt.legend(['raw data','fitting curve']) plt.plot(x2[np.argmin(y2)], np.min(y2), 'b*', markersize=10) plt.text(x2[np.argmin(y2)], np.min(y2)-1,           'min: (%.2f, %.2f)'%(x2[np.argmin(y2)], np.min(y2))) plt.axis([-3,3,-2,20]) plt.show() #================================================= #%% example 2 # assume y-y0 = a*(x-x0)**2 # --> y = ax**2 - 2a*x0*x + a*x0**2 + y0 # let a=-1, x0=1.2, y0=0.7, i.e. the maximum value is located at (1.2, 0.7) # --> y = ...

 // 2 button dialog example  // To invert the most front image. // Modified from http://www.dmscripting.com/files/Example_Button_Enabling_Dialog.s // Renfong // 2021/03/24 // Global variables taggroup firstbutton, secondbutton number true=1 number false=0 image src // the class createbuttondialog is of the type user interface frame (UIFrame), and responds to interactions // with the dialog - in this case pressing buttons class CreateButtonDialog : uiframe { void button1response(object self) { //the response when the button is pressed self.SetElementIsEnabled("first", false); // these commands set the button as enabled or not enabled self.SetElementIsEnabled("second", true); // "second" in this command is the identifier of the button 'secondbutton' // put action1 here src.GetFrontImage() result(src.GetName()+" is picked.\n") }; void button2response(object self) { //the response when the second button is press...

The dm3/dm4 files contain the acquisition parameters and other information in its unique data structure: "TagGroup". In this example, I will show you how to extract the information from an existed taggroup. The tag structure in an SI image is like this: The following code will show how to obtain the operation voltage from the tag group ====================================================== // An example shows how to extract info from an existed taggroup image src := GetFrontImage() TagGroup tg = src.ImageGetTagGroup() TagGroup parenttg string path, label // Asign tag path If (!GetString("Enter path to tag", "Microscope Info:Voltage", path)) Exit(0) result("path : " + path + "\n") tg.TagGroupParseTagPath(path, parenttg, label) parenttg.TagGroupOpenBrowserWindow("Parent of "+label, 0) // Get value from a given path number val TagGroupGetTagAsFloat(tg,path,val) result(label + " : "+val+"\n") ==================...

This is a band-enhanced filter. ref: Ondrej L. Krivanek et. al., Nature 464, 571-574 ============================================================ // Lattice enhanced filter // Reference : Ondrej L. Krivanek et. al., Nature 464, 571-574 // // Version 2 // The filter enhance the lattice feature without removing background. // Set the weight factor in the background and high frequency region  = 1 // And the weight factor of the enhanced feature  = 3.5 // // The first window will show the radial average of the FFT of the image // enhanced feature (look for the peak) then key the value into the window // // 2021/03/15 // Renfong // windless@gmail.com // sub-function1 : radial average // This script is retrived and  modified from  // http://www.gatan.com/sites/default/files/Scripts/Rotational%20Average.s image Rotational_Average(image img) { // Define neccessary parameters and constants number xscale, yscale, xsize, ysize number centerx, centery, halfMi...

EM https://www.globalsino.com/EM/   EBSD OI website ： http://ebsd.cn/ https://ebsd.com/   EDAX website ： https://www.edax.com.cn/resources/applications-literature https://www.edax.com/resources/applications-literature   https://edaxblog.com/   https://www.edax.com.cn/resources/eds-ebsd-published-resources https://www.edax.com/resources/eds-ebsd-published-resources   Others ： http://www.imim.pl/files/SD/Power/Introduction%20to%20Electron%20Backscatter%20Diffraction.pdf   CathodoLuminescence https://whatiscl.info/   EELS https://eels.info/   DM-Script https://www.felmi-zfe.at/dm-script/ http://www.dmscripting.com/ http://digitalmicrograph-scripting.tavernmaker.de/HowToScript_index.htm   Python (EM related) https://hyperspy.readthedocs.io/en/stable/index.html# https://atomap.org/ https://pyxem.github.io/pyxem-website/ ----  updating time: 2021/02/17