hyperspectral_microscopy_image_analysis_using_imagej
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| hyperspectral_microscopy_image_analysis_using_imagej [2014/08/12 15:47] – stephsam | hyperspectral_microscopy_image_analysis_using_imagej [2022/08/26 12:10] (current) – old revision restored (2014/08/12 15:48) cosine | ||
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| === Calculations (Differential Reflection) === | === Calculations (Differential Reflection) === | ||
| - | Once you have loaded your image stacks for the sample and substrate as well as the single frame of dark current you will perform calculations as follows: | + | Once you have loaded your image stacks for the sample and substrate as well as the single frame of dark current you will perform calculations as follows: |
| - | 1. Measure the mean value of the dark current image (Analyze> | + | |
| - | 2. Subtract the dark current mean value from the sample and substrate stacks (Process> | + | 1. Measure the mean value of the dark current image (Analyze> |
| + | |||
| + | 2. Subtract the dark current mean value from the sample and substrate stacks (Process> | ||
| 3. Perform image calculation to subtract the substrate image from the sample image (Process> | 3. Perform image calculation to subtract the substrate image from the sample image (Process> | ||
| - | 4. Perform another image calculation to divide the result of step 3 by the substrate image. | + | |
| + | 4. Perform another image calculation to divide the result of step 3 by the substrate image. | ||
| The resultant image from step 4 will be your subtracted differential reflection image for the sample. From here you can select regions of interest (ROI) and perform various analysis measurements. | The resultant image from step 4 will be your subtracted differential reflection image for the sample. From here you can select regions of interest (ROI) and perform various analysis measurements. | ||
hyperspectral_microscopy_image_analysis_using_imagej.1407883658.txt.gz · Last modified: 2014/08/12 15:47 by stephsam