diff --git a/README.md b/README.md
index 354fd71..2d82b73 100644
--- a/README.md
+++ b/README.md
@@ -31,23 +31,23 @@ User guide: https://mesmerize-core.readthedocs.io/en/latest/user_guide.html
 
 For visualization we recommend [`mesmerize-viz`](https://github.com/kushalkolar/mesmerize-viz) which contains a standard set of visualizations (a WIP), or [`fastplotlib`](https://github.com/kushalkolar/fastplotlib). Here are some examples of visualizations using `fastplotlib`, these visualizations are all performed within jupyter notebooks therefore they will also work on cloud computing intrastructure!
 
-View raw and motion corrected movie side by side:
+### View raw and motion corrected movie side by side:
 
 https://user-images.githubusercontent.com/9403332/191207398-39a027d7-079e-475b-baec-381f2d271652.mp4
 
-Contours from CNMF, good components in cyan and bad components in magenta:
+### Contours from CNMF, good components in cyan and bad components in magenta:
 
 https://user-images.githubusercontent.com/9403332/191207461-9c5c4cad-867b-413a-b30b-ea61f010eed6.mp4
 
-Input movie, constructed movie `(A * C)`, residuals `(Y - A * C - b * f)`, and reconstructed background (b * f):
+### Input movie, constructed movie `(A * C)`, residuals `(Y - A * C - b * f)`, and reconstructed background `(b * f)`:
 
 https://user-images.githubusercontent.com/9403332/191207782-566e24bc-7f0d-40a3-9442-37c86d0ebe48.mp4
 
-Interactive Component evaluation after CNMF:
+### Interactive Component evaluation after CNMF:
 
 https://user-images.githubusercontent.com/9403332/191207883-2393664d-b5e1-49a5-84d1-8ed7eadcf7a0.mp4
 
-This is all possible within jupyter notebooks using `fastplotlib`!
+### This is all possible within jupyter notebooks using `fastplotlib`!
 
 # Installation