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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
A well-integrated subassembly solution that’s tailored to your particular needs, utilizing our many in-house capabilities

• Opto-semiconductor devices
• MOEMS fabrication
• Optical design & integration
• Electronics design & development
• Mechanical packaging
• Software development

Complete performance specs and a single unified warranty for the entirety of a subassembly by providing its development and manufacturing in one business relationship.

 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:

Xtion PRO developer solution to make motion-sensing applications and games

• The world’s first and exclusive professional PC motion sensing software development solution
  
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• Easily selling developer’s applications on the upcoming ASUS@vibe online entertainment content store