Phriction Projects Wikis Bioimaging And Optics Platform Image Processing ImageJ/Fiji ijab-BIOP IHC RatioQuanti History Version 2 vs 3
Version 2 vs 3
Version 2 vs 3
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- Edit by romainGuiet, Version 3
- Jan 23 2018 15:12
- Edit by romainGuiet, Version 2
- Jan 23 2018 14:54
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= BIOP IHC RatioQuanti=
{F5906334, layout=right, float, size=full}
== What is it ? ==
The action bar `BIOP IHC RatioQuanti` is a simple but versatile tool relying on :
- [[ http://imagejdocu.tudor.lu/doku.php?id=plugin:utilities:action_bar:start | `Action Bar` ]] plugin
- `BIOP library`
- `Color Deconvolution` plugin
== What does it ? ==
It's allow you to :
- set a folder
- open image and its associated ROIset (if existing).
- Define (Save or Load) some Settings
- Test the current setting on the current image (showing intermediate images to allow you to affine them)
- Process the current image ,or folder.
== Method ==
**//TBD//** = To Be Defined in the parameters.
For the **Staining** component the macro applies to the RGB image a “Color Deconvolution” [ref color deconvolution] using the vector **//TBD//**, on the component image **//TBD//**, applies a Gaussian Blur (sigma = **//TBD//**) and thresholds it using **//TBD//** algorithm [ref autothreshold].
For the **Tissue** component, the macro converts the RGB image to the HSB color space, applies a Gaussian Blur (sigma = **//TBD//**) and generates a binary image (ie mask) by thresholding the **//TBD//** component using the **//TBD//** algorithm [ref autothreshold].
**NB:** If a ROIset is associated to the image the measurements are restricted to them.
== Install ==
Please, use the [[ https://c4science.ch/w/bioimaging_and_optics_platform_biop/imagej_tools/update-site/ | PTBIOP update site ]] to do the installation and keep up to date.
== Use ==
== Settings==
=== Specify ===
{F5906433, size = full}
=== Save/Load ===
{F5906440, size = full}
== Test ===
{F5906449, size = full}
== Process ==
{F5906463, size = full}
In cas Image has a ROIset
{F5906468, size = full}
content will be added here
= BIOP IHC RatioQuanti=
{F5906334, layout=right, float, size=full}
== What is it ? ==
The action bar `BIOP IHC RatioQuanti` is a simple but versatile tool relying on :
- [[ http://imagejdocu.tudor.lu/doku.php?id=plugin:utilities:action_bar:start | `Action Bar` ]] plugin
- `BIOP library`
- `Color Deconvolution` plugin
== What does it ? ==
It's allow you to :
- set a folder
- open image and its associated ROIset (if existing).
- Define (Save or Load) some Settings
- Test the current setting on the current image (showing intermediate images to allow you to affine them)
- Process the current image ,or folder.
== Method ==
**//TBD//** = To Be Defined in the parameters.
For the **Staining** component the macro applies to the RGB image a “Color Deconvolution” [ref color deconvolution] using the vector **//TBD//**, on the component image **//TBD//**, applies a Gaussian Blur (sigma = **//TBD//**) and thresholds it using **//TBD//** algorithm [ref autothreshold].
For the **Tissue** component, the macro converts the RGB image to the HSB color space, applies a Gaussian Blur (sigma = **//TBD//**) and generates a binary image (ie mask) by thresholding the **//TBD//** component using the **//TBD//** algorithm [ref autothreshold].
**NB:** If a ROIset is associated to the image the measurements are restricted to them.
== Install ==
Please, use the [[ https://c4science.ch/w/bioimaging_and_optics_platform_biop/imagej_tools/update-site/ | PTBIOP update site ]] to do the installation and keep up to date.
== Use ==
== Settings==
=== Specify ===
{F5906433, size = full}
=== Save/Load ===
{F5906440, size = full}
== Test ===
{F5906449, size = full}
== Process ==
{F5906463, size = full}
In cas Image has a ROIset
{F5906468, size = full}
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