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gvarnavi committed Oct 3, 2024
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2 changes: 1 addition & 1 deletion index.md
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+++ {"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:**

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2 changes: 1 addition & 1 deletion myst.yml
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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
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