update biohub logo on the page

app.py

@@ -165,9 +165,11 @@ if __name__ == "__main__":
             # Title and description
             gr.HTML(
                 """
-                <div style="display: flex; justify-content: center; align-items: center; text-align: center;">
+                <div style="display: flex; flex-direction: column; justify-content: center; align-items: center; text-align: center;">
                     <a href="https://www.czbiohub.org/sf/" target="_blank">
-                    <img src="https://huggingface.co/spaces/compmicro-czb/VirtualStaining/resolve/main/misc/czb_mark.png" style="width: 100px; height: auto; margin-right: 10px;">
+                    <div style="height: 60px; overflow: hidden; display: flex; align-items: center; justify-content: center;">
+                    <img src="https://huggingface.co/spaces/compmicro-czb/VirtualStaining/resolve/main/misc/biohub_logo.png" style="width: 300px; height: auto; object-fit: contain;">
+                    </div>
                     </a>
                     <div class='title-block'> Robust virtual staining of landmark organelles with Cytoland </div>
                 </div>
@@ -182,7 +184,7 @@ if __name__ == "__main__":
                     <p><b>Note:</b> The model works well with QPI, and sometimes generalizes to phase contrast and DIC.<br>
                     It was trained primarily on HEK293T, BJ5, and A549 cells imaged at 20x. <br>
                     We continue to diagnose and improve generalization<p>
-                    <p>Check out our preprint: <a href='https://www.biorxiv.org/content/10.1101/2024.05.31.596901' target='_blank'><i>Liu et al., Robust virtual staining of landmark organelles</i></a></p>
+                    <p>Check out our paper: <a href='https://doi.org/10.1038/s42256-025-01046-2' target='_blank'><i>Liu et al., Robust virtual staining of landmark organelles with Cytoland</i></a></p>
                     <p> For training your own model and analyzing large amounts of data, use our <a href='https://github.com/mehta-lab/VisCy/tree/main/examples/virtual_staining/dlmbl_exercise' target='_blank'>GitHub repository</a>.</p>
                 </div>
                 """
@@ -396,7 +398,7 @@ if __name__ == "__main__":
             gr.HTML(
                 """
                 <div class='article-block'>
-                <li>1. <a href='https://www.biorxiv.org/content/10.1101/2024.05.31.596901' target='_blank'>Liu et al., Robust virtual staining of landmark organelles</a></li>
+                <li>1. <a href='https://doi.org/10.1038/s42256-025-01046-2' target='_blank'>Liu et al., Robust virtual staining of landmark organelles with Cytoland</a></li>
                 <li>2. <a href='https://sartorius-research.github.io/LIVECell/' target='_blank'>Edlund et. al. LIVECEll-A large-scale dataset for label-free live cell segmentation</a></li>
                 <li>3. <a href='https://celltrackingchallenge.net/' target='_blank'>Maska et. al.,The cell tracking challenge: 10 years of objective benchmarking </a></li>
                 <li>4. <a href='https://elifesciences.org/articles/55502' target='_blank'>Guo et. al., Revealing architectural order with quantitative label-free imaging and deep learning</a></li>