diff --git a/Absorption-Imaging-Class.md b/Absorption-Imaging-Class.md
index c5ee2c2..163dc34 100644
--- a/Absorption-Imaging-Class.md
+++ b/Absorption-Imaging-Class.md
@@ -8,7 +8,7 @@ This is a class for getting data of absorption imaging form three standard image
 * **self.image_atoms** *(2D numpy array)*: storing the data of the fist image.
 * **self.image_background** *(2D numpy array)*: similar to previous one
 * **self.image_dark** *(2D numpy array)*: similar to previous one
-* **self.image_absorption** *(2D numpy array)*: similar to previous one
+* **self.image_absorption** *(2D numpy array)*: similar to previous one. (The OD number)
 * **self.detuning** *(float)*: laser beam detuning in Hz!!!
 * **self.intensity** *(float)*: laser beam intersity at atom cloud in (W/m^2)
 * **self.beam_energy** *(float)*: The laser beam energy shooting on the camera during exposure.
@@ -47,7 +47,7 @@ Just for get the absorption imaging, it doesn't require any information about ca
 * **detuning** *(float, optional)*: Detuning of the laser beam.
 * **Intensity** *(float, optional)*: Laser beam intensity at the position of atom cloud!
 
-## absorption_imaging.set_image_name()
+## absorption_imaging.set_image_name
 > dylab.absorption_imaging.set_image_name(image, name)
 
 It can set the searching name of those three satandard images. The defualt names are "atoms", "background" and "dark".
@@ -59,8 +59,8 @@ It can set the searching name of those three satandard images. The defualt names
 ### Return
 * Nothing
 
-## absorption_imaging.get_image_absorption()
->  dylab.absorption_imaging.get_image_absorption()
+## absorption_imaging.get_image_absorption
+> dylab.absorption_imaging.get_image_absorption()
 
 It will calculate the absorption imaging and update the value storing in **self.absorption_imaging**, integrating in \_\_enter\_\_ function
 
@@ -70,8 +70,8 @@ It will calculate the absorption imaging and update the value storing in **self.
 ### Return:
 * **self.image_absorption** *(2D numpy array, optional)*: A two deminsional numpy array, which stores the calculation result. It will also update the value storing in **self.image_absorption**, so it not necessary to pick up the returned handle.
 
-## absorption_imaging.get_atom_number()
->  dylab.absorption_imaging.absorption_imaging.get_atom_number(force_to_run=False)
+## absorption_imaging.get_atom_number
+> dylab.absorption_imaging.absorption_imaging.get_atom_number(force_to_run=False)
 
 It will return the value storing in **self.aton_number**. If there is no value, it will calculate the atom number and update the value storing in **self.aton_number**. It is also possible to force the program do the calculation and updating, even there is already an avaliable result.
 
@@ -82,3 +82,25 @@ It will return the value storing in **self.aton_number**. If there is no value,
 * **self.atom_number** *(float, optional)*: The number of atoms. It will also update the value storing in **self.aton_number**, so it not necessary to pick up the returned value.
 
 
+## absorption_imaging.plot_result
+> dylab.absorption_imaging.absorption_imaging.plot_result(vmin=None, vmax=None)
+
+It can plot the results with *jet* colormap. Meanwhile, it is possible to change the colorbar range of the absorption imaging.
+
+### Parameters:
+* **vmin** *(float, optionla)*: The lower limitation of the colorbar range of the absorption imaging.
+* **vmax** *(float, optionla)*: The upper limitation of the colorbar range of the absorption imaging.
+
+### Return:
+* Nothing (except a figure window)
+
+## absorption_imaging.get_beam_power
+> dylab.absorption_imaging.get_beam_power(laser_pulse_duration)
+
+It can calculate the laser beam power shooting on the camera during exposure.
+
+### Parameters:
+* **laser_pulse_duration** *(float, necessary)*: The duration of laser pulse.
+
+### Return:
+* **self.beam_energy / laser_pulse_duration** *(float, necessary)*: It will return the calculation result and update the value in **self.beam_energy**
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