diff --git a/index.md b/index.md
index 359d429..dc5600a 100644
--- a/index.md
+++ b/index.md
@@ -26,7 +26,7 @@ _Updated 2024 October 03_
 +++
 
 +++ {"part": "acknowledgements"} 
-_This work was carried out in part at the Singh Center for Nanotechnology, which is supported by the NSF National Nanotechnology Coordinated Infrastructure Program under grant NNCI-2025608 and through the use of facilities supported by the University of Pennsylvania Materials Research Science and Engineering Center (MRSEC) DMR-2309043. C.-Y. C. and E.A.S. acknowledge additional support through the NSF Division of Materials Research's Metals and Metallic Nanostructures program, DMR-2303084.Add your acknowledgments, if any, here._
+_This work was carried out in part at the Singh Center for Nanotechnology, which is supported by the NSF National Nanotechnology Coordinated Infrastructure Program under grant NNCI-2025608 and through the use of facilities supported by the University of Pennsylvania Materials Research Science and Engineering Center (MRSEC) DMR-2309043. C.-Y. C. and E.A.S. acknowledge additional support through the NSF Division of Materials Research's Metals and Metallic Nanostructures program, DMR-2303084._
 
 **Declaration of Generative AI in Scientific Writing:**
 
diff --git a/myst.yml b/myst.yml
index 990f053..0a174c6 100644
--- a/myst.yml
+++ b/myst.yml
@@ -3,7 +3,7 @@ version: 1
 project:
   id: msa-em-microscopy-seg-track-1
   title: 'Deep Learning Applications in Microscopy: Segmentation and Tracking'
-  description: Comparative analysis of recent CV models in microscopic image segmentation (including EfficientSAM-tiny, YOLOv8n-seg, Swin-UNet, and VMamba). Integration of EfficientSAM-tiny and DeAOT for video tracking in high-temperature sintering processes under a microscope.
+  description: Comparative analysis of recent computer vision models in microscopic image segmentation (including EfficientSAM-tiny, YOLOv8n-seg, Swin-UNet, and VMamba). Integration of EfficientSAM-tiny and DeAOT for video tracking in high-temperature sintering processes under a microscope.
   short_title: Microscopy Segment Track
   keywords:
     - deep learning