Update README.md

Deep_Learning_STEM-EDX_Tomography/Recon_data/Regression/README.md

@@ -1 +1,21 @@
-Data shown in Supplementary Figure S9 and S11
+## Data shown in Supplementary Figure S9 and S11 ##
+
+Each file consists of **STEM-EDX measurement('edx_img')**, **standard kernel-based denoising result('ker_img')**, **BM3D result('bm3d_img')**, and/or **denoised result using the proposed method('n2b_img')**.
+
+First part of our work for **CNN-based kernel** consists mainly of two parts - **Regression network** and **Attention module**.
+We provide both training and inference codes for these deep neural networks, respectively.
+
+### Sample 1
+Data in the first row in Supplementary Figure S9
+
+### Sample 2
+Data in the second row in Supplementary Figure S9
+
+### Sample 3
+Data in the first row in Supplementary Figure S11
+
+### Sample 4
+Data in the second row in Supplementary Figure S11
+
+### Sample 5
+Data in the third row in Supplementary Figure S11