From 6aae3a072c62a445b8e9b0fccd00a2ded0c2b78d Mon Sep 17 00:00:00 2001
From: Marius Pachitariu <marius10p@gmail.com>
Date: Thu, 28 Mar 2024 18:54:57 -0400
Subject: [PATCH] Update README.md

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index de0d1e91..4e883327 100644
--- a/README.md
+++ b/README.md
@@ -42,7 +42,7 @@ Stringer, C., Wang, T., Michaelos, M., & Pachitariu, M. (2021). Cellpose: a gene
 **If you use the human-in-the-loop training, please also cite the Cellpose 2.0 [paper](https://www.nature.com/articles/s41592-022-01663-4):**  
 Pachitariu, M. & Stringer, C. (2022). Cellpose 2.0: how to train your own model. <em>Nature methods</em>, 1-8.
 
-**If you use the new image restoration models or cyto3, please also cite the Cellpose3 [paper](https://www.biorxiv.org/content/10.1101/2024.02.10.579780v1):**
+**If you use the new image restoration models or cyto3, please also cite the Cellpose3 [paper](https://www.biorxiv.org/content/10.1101/2024.02.10.579780v1):**  
 Stringer, C. & Pachitariu, M. (2024). Cellpose3: one-click image restoration for improved segmentation. <em>bioRxiv</em>.
 
 :triangular_flag_on_post: All models in Cellpose, except `yeast_BF_cp3`, `yeast_PhC_cp3`, and `deepbacs_cp3`, are trained on some amount of data that is **CC-BY-NC**. The Cellpose annotated dataset is also CC-BY-NC.