Update README.md

README.md

@@ -130,7 +130,7 @@ ImageJ macros and scripts written at the imaging facility MRI. Have a look at th
 <img align='right' src="https://github.com/MontpellierRessourcesImagerie/imagej_macros_and_scripts/assets/7602420/97cf9547-193f-47ff-b630-422611e71b04" height='100'/> The tool helps to measure the transfection efficiency. It reports the percentage of transfected cells in the image. It has tools to manually correct the segmented nuclei (merge and split). 
 ####   [Width-Profile-Tools](https://github.com/MontpellierRessourcesImagerie/imagej_macros_and_scripts/wiki/Width-Profile-Tools) 
 
-<img align='right' src="https://camo.githubusercontent.com/18fdc3a2922e0e9b87e9b662c501b4709fb4863e35190b91dc0e239c591181c8/68747470733a2f2f6465762e6d72692e636e72732e66722f6174746163686d656e74732f646f776e6c6f61642f323636372f566f726f6e6f692d726573756c742e706e67" height='100'/> Tools to estimate the width-profile of an object given as a binary mask image. Calculate the width profile of the object as local thickness, as voronoi distance between two parts of the contour-line, perpendicular to the axis of inertia or at regular distances using rays perpendicular to a centerline segment.
+<img align='right' src="https://github.com/MontpellierRessourcesImagerie/imagej_macros_and_scripts/assets/7602420/08e49b93-b26b-4882-adc3-a3b1a2c71701" height='100'/> Tools to estimate the width-profile of an object given as a binary mask image. Calculate the width profile of the object as local thickness, as voronoi distance between two parts of the contour-line, perpendicular to the axis of inertia or at regular distances using rays perpendicular to a centerline segment.
 ####   [Witness based drift correction Tool](https://github.com/MontpellierRessourcesImagerie/imagej_macros_and_scripts/wiki/Witness_based_drift_correction_Tool) 
 
 <img align='right' src="https://camo.githubusercontent.com/7e19fb4e9f924ab287acc36e559f11ab9b94e354c5c3230b7640436a75fd61cb/68747470733a2f2f6465762e6d72692e636e72732e66722f6174746163686d656e74732f646f776e6c6f61642f323535302f436f6d62696e6564537461636b732e676966" height='100'/> The tool corrects a constant drift in a time-series. When the objects in the images move, drift-correction can be difficult. Here a second channel is provided, in which there are no moving objects, however in order to be able to acquire images fast enough, for the second channel only the images of the first and the last frame are taken.