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courses:456:2023:projects:456-2023-04:project-04 [2023/05/15 02:12] ywang790courses:456:2023:projects:456-2023-04:project-04 [2023/05/15 02:47] (current) – [Vision Guided Mosquito Dissection for the Production of Malaria Vaccine] ywang790
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 ======Vision Guided Mosquito Dissection for the Production of Malaria Vaccine====== ======Vision Guided Mosquito Dissection for the Production of Malaria Vaccine======
-**Last updated: 05/10/2023, 7 p.m.**+**Last updated: 05/14/2023, 7 p.m.**
  
  
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 {{ :courses:456:2023:projects:456-2023-04:图片2.jpg?400 |}} {{ :courses:456:2023:projects:456-2023-04:图片2.jpg?400 |}}
  
-======Background, Specific Aims, and Significance======+======Background, Specific Aims/Goals, and Significance======
  
 ===== Background: ===== ===== Background: =====
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 However, the current extraction process is fully manual and requires highly trained technicians to perform delicate manual operations under a microscope. The process is time-consuming and expensive. An automated dissection process is being developed at LCSR that uses a robotic microsurgical instrument to manipulate mosquitoes. The autonomy of the robotic system hinges on sophisticated computer vision methods to detect mosquitoes and their body parts and to provide quality control during the process.  However, the current extraction process is fully manual and requires highly trained technicians to perform delicate manual operations under a microscope. The process is time-consuming and expensive. An automated dissection process is being developed at LCSR that uses a robotic microsurgical instrument to manipulate mosquitoes. The autonomy of the robotic system hinges on sophisticated computer vision methods to detect mosquitoes and their body parts and to provide quality control during the process. 
  
-===== Specific Aims: =====+===== Specific Aims/Goals: =====
  
  This project aims to create vision algorithms for the robot mosquito dissection system, which is an important part of continuing development. Specific aims are to develop new DL-based CV methods and integrate existing CV methods for the mosquito dissection system, which include:  This project aims to create vision algorithms for the robot mosquito dissection system, which is an important part of continuing development. Specific aims are to develop new DL-based CV methods and integrate existing CV methods for the mosquito dissection system, which include:
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 {{ :courses:456:2023:projects:456-2023-04:wechat_image_20230508175602.png?600 |}} {{ :courses:456:2023:projects:456-2023-04:wechat_image_20230508175602.png?600 |}}
  
-**Code in Gitlab repository for these tasks:** +======Project Outcomes and Technical Documentation====== 
 + 
 +**Codes and label files in Gitlab repository for these tasks: (Access to the project Gitlab is required. Ask Prof.Russell H. Taylor or Balazs Vagvolgyi to grant permission.)** 
  
 Classification Deep Learning Architectures: https://git.lcsr.jhu.edu/mosquito-vision/sanaria_cv_dl/-/tree/main/lib/sanaria_classification_dl Classification Deep Learning Architectures: https://git.lcsr.jhu.edu/mosquito-vision/sanaria_cv_dl/-/tree/main/lib/sanaria_classification_dl
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 Prediction of Dissection Success: https://git.lcsr.jhu.edu/mosquito-vision/sanaria_cv_dl/-/tree/main/tasks/success_prediction_2 Prediction of Dissection Success: https://git.lcsr.jhu.edu/mosquito-vision/sanaria_cv_dl/-/tree/main/tasks/success_prediction_2
  
-**GitLab Wiki for these tasks:**+**GitLab Wiki and documentation for these tasks: (Access to the project Gitlab is required. Ask Prof.Russell H. Taylor or Balazs Vagvolgyi to grant permission.)**
  
 Classification Deep Learning Architectures: https://git.lcsr.jhu.edu/mosquito-vision/sanaria_cv_dl/-/wikis/Classification-Deep-Learning-Architectures Classification Deep Learning Architectures: https://git.lcsr.jhu.edu/mosquito-vision/sanaria_cv_dl/-/wikis/Classification-Deep-Learning-Architectures
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 Here is a flow chart of the technical approach: Here is a flow chart of the technical approach:
  
-{{ :courses:456:2023:projects:456-2023-04:未命名文件_10_.png?200 |}}+{{ :courses:456:2023:projects:456-2023-04:流程图.png?400 |}}
  
 **Images and Annotations** **Images and Annotations**
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 {{ :courses:456:2023:projects:456-2023-04:fig1.png?600 |}} {{ :courses:456:2023:projects:456-2023-04:fig1.png?600 |}}
  
-======Project Management ====== +======Project Management Summary====== 
-  **Milestone name**:  Mosquito Orientation Detection +  * **Credits** 
-    **Planned Date**: March 12th, 2023 +  **Yutai Wang (Team Leader/ Team Member):** Responsible for all tasks. Developed classification neural networks. Collected image data and collaborated with labeling. Designed the experiment platform and conducted experiments for the extra work. Wrote documentation and uploaded corresponding codes to project’s Gitlab for each task. 
-    * **Expected Date**: March 16th, 2023 +  - **Balazs Vagvolgyi (Mentor):** Provide mentorship. Have regular weekly meeting with me to discuss results and determine what should be the next step. 
-    * **Status**: Completed +  * **Accomplished VS Planned** 
-  - **Milestone name** Exudate Quality Evaluation +{{ :courses:456:2023:projects:456-2023-04:wechat_image_20230514223407.png?600 |}} 
-    * **Planned Date**: April 1st, 2023 +  * **Future Plan** 
-    * **Expected Date**April 14th, 2023 +  - Based on the Prediction of Dissection Success resultsinvestigate methods to locate specific regions on mosquito images that contribute strongest to variability in exudate quality. Record relevant codes and documentation in Gitlab. 
-    * **Status**: Completed +  - Develop exudate volume estimation based on deep learning methods. Complete exudate volume estimation codes in Gitlab repository. Write documentation in Gitlab Wiki and Readme files.
-  - **Milestone name**:  Prediction of Dissection Success +
-    * **Planned Date**: April 30th2023 +
-    * **Expected Date**: May 9th, 2023 +
-    * **Status**: Completed +
-  - **Milestone name**:  Exudate Volume Estimation +
-    * **Planned Date**: May 9th, 2023 +
-    * **Expected Date**: May 14th, 2023 +
-    * **Status**: Future Work+
  
 ======Reports and presentations====== ======Reports and presentations======
courses/456/2023/projects/456-2023-04/project-04.1684116732.txt.gz · Last modified: by ywang790




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