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EMF Corp. EMF gold test slides are suitable for a wide variety of analytical and biological test applications. Our glass test slides are coated with a binder layer of chrome or titanium, based on customer preference, followed by a deposition of bare gold with no protective overcoat. Substrates: Float glass, cut edges, available in .040" (1mm) and .062" (1.5mm) thickness Dimensions: Our standard sizes are 1" x 3" and 1" x 0.25". Other sizes are available Coating: 50 angstroms chrome or titanium followed by 1,000 angstroms gold Purity: 99.9% pure Packaging: 1"x 3" slides are packaged 5/tube Hamamatsu Corporation
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plt.figure()
matplotlib.rcParams.update({'font.size': 25}) plt.rc('font', family='serif') plt.rc('font', serif='Times New Roman') plt.get_current_fig_manager().window.showMaximized() plt.subplot2grid((2,2), (0,0)) plt.plot(position_Fz_100, force_Fz_100_SB, 'r-',ms=6, lw=4, label='ABC') plt.plot(position_Fz_100, force_Fz_100_CP, 'k-',ms=6, lw=4, label='DEF') plt.axhline(0, color='black', lw=2) plt.axvline(0, color='black', lw=2) plt.annotate('', xy=(0.62, -0.013), xycoords='data', xytext=(0.62, 0.0), textcoords='data', arrowprops=dict(arrow) ) plt.annotate('$G_{z}<0$', xy=(0.5, 0.003), xycoords='data', xytext=(0.5, 0.003), textcoords='data', color='g' ) plt.annotate('(a)', size = 35, xy=(-1.9, 0.032), xycoords='data', xytext=(-1.9, 0.032), textcoords='data' ) plt.legend(loc='lower left') title('XXXX') xlabel('Position $z$ ($um$)') ylabel('$G_z (pN/mW)$') xlim(-2.0,2.0) ylim(-0.04,0.04) yticks( np.arange(-0.04,0.04+0.001,0.02) ) grid(True) plt.annotate('$G_{z}$', xy=(2, 1), xytext=(3, 1.5), arrowprops=dict(arrowprops=dict(arrow'<->'),facecolor='black', shrink=0.05),) plt.subplot2grid((2,2), (0,1)) plt.plot(position_Fz_200, force_Fz_200_SB, 'r-',ms=6, lw=4, label='ABC') plt.plot(position_Fz_200, force_Fz_200_CP, 'k-',ms=6, lw=4, label='DEF') plt.axhline(0, color='black', lw=2) plt.axvline(0, color='black', lw=2) plt.annotate('(b)', size = 35, xy=(-1.9, 1.2), xycoords='data', xytext=(-1.9, 1.2), textcoords='data' ) plt.annotate('$G_{z}>0$', xy=(1.0, 0.2), xycoords='data', xytext=(1.0, 0.2), textcoords='data', color='g' ) legend(loc='lower right') title('XXXXX') xlabel('Position $z$ ($um$)') ylabel('$G_z (pN/mW)$') xlim(-2.0,2.0) ylim(-1.5,1.5) grid(True) show() plt.subplot2grid((2,2), (1,0), colspan=2) plt.plot(size_SB, force_SB, 'r-o',ms=8, lw=4, label='ABC') plt.plot(size_CP, force_CP, 'k-o',ms=8, lw=4, label='DEF') plt.annotate('', xy=(155, -0.005), xycoords='data', xytext=(250, -0.005), textcoords='data', arrowprops=dict(arrow) ) plt.annotate('Note text', xy=(180, -0.02), xycoords='data', xytext=(180, -0.02), textcoords='data' ) plt.annotate('(c)', size = 35, xy=(4, -0.03), xycoords='data', xytext=(4, -0.03), textcoords='data' ) legend(loc='lower left') xlabel('CCCCC ($nm$)') ylabel('$G_{zc} (pN/mW)$') xlim(0,250) ylim(-0.2,0.0) grid(True) show() plt.tight_layout() savefig(folder_path + '/Figure.jpg') import numpy as np
folder_path = 'C:\Chenglong\Paper\CP Trap\Figure\Figure3' data_file = folder_path + '/data.csv' data = np.genfromtxt(data_file, delimiter=',', skip_header=3) Add the follow script:
plt.figure() matplotlib.rcParams.update({'font.size': 20}) plt.rc('font', family='serif') plt.rc('font', serif='Times New Roman') grid(True) plt.show() A good article explains how the 200 nm resolution of an optical microscopy comes from.[PDF]
Princeton Optronics is the technology leader in high power VCSEL diode laser technology and in the area of diode laser pumped low noise laser technology. The technology section write-up is organized as follows: HIGH RESOLUTION WAVEFRONT ANALYSIS
ONERA* patented technology Phasics wavefront sensors all rely on an innovative patented technology: the quadriwave lateral shearing interferometry (QWLSI). It is based on a modified Hartmann mask to measure wavefront distortions. Xtion PRO developer solution to make motion-sensing applications and games
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