diff --git a/README.md b/README.md
index eb859adb..b6c03134 100644
--- a/README.md
+++ b/README.md
@@ -75,26 +75,23 @@ publisher = {eLife Sciences Publications, Ltd},
     # conda create --prefix /path/to/conda/envs/viscy python=3.10
     ```
 
-2. Clone this repository and install with pip:
+2. Install a released version of VisCy from PyPI:
 
     ```sh
-    git clone https://github.com/mehta-lab/VisCy.git
-    # change to project root directory (parent folder of pyproject.toml)
-    cd VisCy
-    pip install .
+    pip install viscy
     ```
 
     If evaluating virtually stained images for segmentation tasks,
     install additional dependencies:
 
     ```sh
-    pip install ".[metrics]"
+    pip install "viscy[metrics]"
     ```
 
     Visualizing the model architecture requires `visual` dependencies:
 
     ```sh
-    pip install ".[visual]"
+    pip install "viscy[visual]"
     ```
 
 3. Verify installation by accessing the CLI help message:
diff --git a/pyproject.toml b/pyproject.toml
index 64d3948d..7f48ea7e 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -14,11 +14,11 @@ dependencies = [
     "torch>=2.1.2",
     "timm>=0.9.5",
     "tensorboard>=2.13.0",
-    "lightning>=2.0.1",
+    "lightning>=2.3.0",
     "monai>=1.3.1",
     "jsonargparse[signatures]>=4.20.1",
     "scikit-image",
-    "matplotlib",
+    "matplotlib>=3.9.0",
 ]
 dynamic = ["version"]