update

README.md

@@ -10,7 +10,7 @@ LabDCT is a novel technique for 3D grain mapping using lab X-ray source, inspire
 3) 'gpu_cuda_comp' - run on NVIDIA gpu and require CUDA driver, fast and robust. Suitable for projections with serious spot overlapping;
 4) 'gpu_cuda_index_compete' - run on NVIDIA gpu and require CUDA driver, based on brute force indexing and competing completeness for assign orientation for un-indexed voxels. However, this method has not be optimized to be robust enough yet and thus so far not recommended to use.
 
-# How to use the code?
+# How to use the code? Generally, 4 steps:
 ## 1) Prepare for recontruction
   - run [get_spots.m](https://gricad-gitlab.univ-grenoble-alpes.fr/TomoX_SIMaP/GrainRecon/-/blob/master/get_spots.m) for spot segmentation from LabDCT projections;
   - run [get_tomo_slices_create_h5.m](https://gricad-gitlab.univ-grenoble-alpes.fr/TomoX_SIMaP/GrainRecon/-/blob/master/get_tomo_slices_create_h5.m) to obtain an hdf5 file for tomo volume mask;
@@ -38,7 +38,7 @@ Examples of bash file for submitting jobs to ESRF slurm cluster:
 sbatch go_SLURM_gpu_single_job.slurm
 ```
 
-# Example
+# Example dataset
 Three examples are available in [./Examples](https://gricad-gitlab.univ-grenoble-alpes.fr/TomoX_SIMaP/GrainRecon/-/tree/master/Examples):
 1) a virtual Fe sample containing 6 grains in a magnified geometry; <br>
 2) a virtual Fe sample containing 144 grains in both Laue-focusing and magnified geometries; <br>
@@ -54,7 +54,7 @@ A mirror site is accessible [here](https://github.com/haixingfang/GrainRecon) on
 # Reference
 A manuscript has been prepared and now is under review:<br>
 H. Fang, W. Ludwig, P. Lhuissier, Reconstruction algorithms for grain mapping by laboratory X-ray diffraction contrast tomography (in review).<br>
-Please cite this article if you use or get inspired by the code presented here.
+Please cite this article if you use or get inspired by the code presented here. <br>
 
 # Know more about LabDCT or synchrotron DCT?
 ## Read the following books and articles.