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diff --git a/demo/DemoRD1.m b/demo/DemoRD1.m
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+% Demonstration of tomographic reconstruction from neutron tomography
+% dataset (basalt sample) using Student t data fidelity 
+clear all
+close all 
+
+% adding paths
+addpath('data/'); 
+addpath('main_func/'); 
+addpath('supp/'); 
+
+load('sino_basalt.mat') % load real neutron data
+
+size_det = size(sino_basalt, 1); % detector size
+angSize = size(sino_basalt,2); % angles dim
+recon_size = 650; % reconstruction size
+
+FBP = iradon(sino_basalt, rad2deg(angles),recon_size);
+figure; imshow(FBP , [0, 0.45]); title ('FBP reconstruction');
+
+%%
+fprintf('%s\n', 'Reconstruction using FISTA-LS without regularization...');
+clear params
+params.sino = sino_basalt';
+params.N  = recon_size;
+params.angles = angles;
+params.iterFISTA  = 50;
+params.show = 0;
+params.maxvalplot = 0.6; params.slice = 1;
+
+tic; [X_fista] = FISTA_REC(params); toc;
+figure; imshow(X_fista , [0, 0.45]); title ('FISTA-LS reconstruction');
+%%
+fprintf('%s\n', 'Reconstruction using FISTA-LS-TV...');
+clear params
+params.sino = sino_basalt';
+params.N  = recon_size;
+params.angles = angles;
+params.iterFISTA  = 150;
+params.lambdaTV = 0.0003; % TV regularization parameter
+params.tol = 1.0e-04;
+params.iterTV = 20;
+params.show = 1;
+params.maxvalplot = 0.6; params.slice = 1;
+
+tic; [X_fista_TV] = FISTA_REC(params); toc;
+figure; imshow(X_fista_TV , [0, 0.45]); title ('FISTA-LS-TV reconstruction');
+%%
+%%
+fprintf('%s\n', 'Reconstruction using FISTA-GH-TV...');
+clear params
+params.sino = sino_basalt';
+params.N  = recon_size;
+params.angles = angles;
+params.iterFISTA  = 350;
+params.lambdaTV = 0.0003; % TV regularization parameter
+params.tol = 1.0e-04;
+params.iterTV = 20;
+params.lambdaR_L1 = 0.001; % Soft-Thresh L1 ring variable parameter
+params.show = 1;
+params.maxvalplot = 0.6; params.slice = 1;
+
+tic; [X_fista_GH_TV] = FISTA_REC(params); toc;
+figure; imshow(X_fista_GH_TV , [0, 0.45]); title ('FISTA-GH-TV reconstruction');
+%%
+%%
+fprintf('%s\n', 'Reconstruction using FISTA-Student-TV...');
+clear params
+params.sino = sino_basalt';
+params.N  = recon_size;
+params.angles = angles;
+params.iterFISTA  = 350;
+params.L_const = 7000; % Lipshitz constant
+params.lambdaTV = 0.0003; % TV regularization parameter
+params.tol = 1.0e-04;
+params.iterTV = 20;
+params.fidelity = 'student'; % choosing Student t penalty
+params.show = 1;
+params.maxvalplot = 0.6; params.slice = 1;
+
+tic; [X_fistaStudentTV] = FISTA_REC(params); toc;
+figure; imshow(X_fistaStudentTV , [0, 0.45]); title ('FISTA-Student-TV reconstruction');
+%%
+
+fprintf('%s\n', 'Segmentation using OTSU method ...');
+level = graythresh(X_fista);
+Segm_FISTA = im2bw(X_fista,level);
+figure; imshow(Segm_FISTA, []); title ('Segmented FISTA-LS reconstruction');
+
+level = graythresh(X_fista_TV);
+Segm_FISTA_TV = im2bw(X_fista_TV,level);
+figure; imshow(Segm_FISTA_TV, []); title ('Segmented FISTA-LS-TV reconstruction');
+
+level = graythresh(X_fista_GH_TV);
+BW_FISTA_GH_TV = im2bw(X_fista_GH_TV,level);
+figure; imshow(BW_FISTA_GH_TV, []); title ('Segmented FISTA-GH-TV reconstruction');
+
+level = graythresh(X_fistaStudentTV);
+BW_FISTA_Student_TV = im2bw(X_fistaStudentTV,level);
+figure; imshow(BW_FISTA_Student_TV, []); title ('Segmented FISTA-Student-LS reconstruction');
+\ No newline at end of file