From ffe3b298b5cde6448c72460a0d0d4ff07d33e0fc Mon Sep 17 00:00:00 2001
From: Yurii Zubov <13329590+yuriyzubov@users.noreply.github.com>
Date: Mon, 22 Dec 2025 15:27:29 -0500
Subject: [PATCH] update example links

---
 _pages/plugins/bigstitcher/index.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/_pages/plugins/bigstitcher/index.md b/_pages/plugins/bigstitcher/index.md
index 606dfba9f..d527f35ad 100644
--- a/_pages/plugins/bigstitcher/index.md
+++ b/_pages/plugins/bigstitcher/index.md
@@ -170,8 +170,8 @@ We prepared a 2D and 3D version of a tiled dataset for testing the BigStitcher o
 
 ### 2D multi-tile dataset (2.8 MB)
 
-This dataset is a maximum intensity projection of the nervous system of a Drosophila larva containing 6 tiles and 3 channels each. You can download the raw input at http://preibischlab.mdc-berlin.de/BigStitcher/Grid_2d.zip> and a reconstructed BigStitcher project at <http://preibischlab.mdc-berlin.de/BigStitcher/Grid_2d_h5_aligned.zip. In the reconstructed project, the images were imported into the BigStitcher using the AutoLoader (with immediate resaving as HDF5 and Movement to a regular 2-by-3 grid with 10% overlap between the tiles). We calculated pairwise shifts using phase correlation with default parameters, using the precomputed 2x2 downsampling and averaging the channels. We ignored links with correlation $$<0.7$$ and calculated the final registration using the two-round global optimization with strict constraints.
+This dataset is a maximum intensity projection of the nervous system of a Drosophila larva containing 6 tiles and 3 channels each. You can download the raw input at https://preibischlab.mdc-berlin.de/BigStitcher/Grid_2d.zip and a reconstructed BigStitcher project at https://preibischlab.mdc-berlin.de/BigStitcher/Grid_2d_h5_aligned.zip. In the reconstructed project, the images were imported into the BigStitcher using the AutoLoader (with immediate resaving as HDF5 and Movement to a regular 2-by-3 grid with 10% overlap between the tiles). We calculated pairwise shifts using phase correlation with default parameters, using the precomputed 2x2 downsampling and averaging the channels. We ignored links with correlation $$<0.7$$ and calculated the final registration using the two-round global optimization with strict constraints.
 
 ### 3D multi-tile dataset (123 MB)
 
-This dataset is a 3d confocal scan of the nervous system of a Drosophila larva containing 6 tiles and 3 channels each, channels are distributed over different files. You can download the raw input at http://preibischlab.mdc-berlin.de/BigStitcher/Grid_3d.zip> and the reconstructed project at <http://preibischlab.mdc-berlin.de/BigStitcher/Grid_3d_h5_aligned.zip. In the reconstructed project, we ran the same import and reconstruction steps as for the 2d dataset and in addition performed affine refinement of the registration using IPC with default parameters and simple tile refinement to create the final reconstructed project.
+This dataset is a 3d confocal scan of the nervous system of a Drosophila larva containing 6 tiles and 3 channels each, channels are distributed over different files. You can download the raw input at https://preibischlab.mdc-berlin.de/BigStitcher/Grid_3d.zip and the reconstructed project at https://preibischlab.mdc-berlin.de/BigStitcher/Grid_3d_h5_aligned.zip. In the reconstructed project, we ran the same import and reconstruction steps as for the 2d dataset and in addition performed affine refinement of the registration using IPC with default parameters and simple tile refinement to create the final reconstructed project.