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Astrocyte Analysis

Professor: Cheng-Chang Lu Subject: Image Processing. Astrocyte Analysis. By Rakesh Singrikonda [rsingrik@kent.edu] Rambabu Chelikani [rchelika@kent.edu] Manoj Thatikonda [mthatiko@kent.edu] Masters in Computer Science Kent State University. Objective:.

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Astrocyte Analysis

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  1. Professor: Cheng-Chang Lu Subject: Image Processing

    Astrocyte Analysis

    By Rakesh Singrikonda [rsingrik@kent.edu] RambabuChelikani [rchelika@kent.edu] ManojThatikonda [mthatiko@kent.edu] Masters in Computer Science Kent State University
  2. Objective: automatically segment Individual Glial Cells. intelligent thresholding. Segmentation. Cell Analysis. 3d Analyzing. 3d view of objects classify astrocytes and provide volume and surface area.
  3. Previous work: Use of existing plug-ins in imagej. Selecting an image Converting it into 8 bit Applying threshold Make the image binary Analyzing the particles in 3d.
  4. Present work Developing a plug-in to perform all the previous works. Minimizing the user operations Loading the image directly when the plugin is called. Make the image 8-bit automatically Apply threshold on the image View the objects 3 dimensionally
  5. Our Plugin
  6. Opening an image
  7. Removing the unwanted images from the image stack using slice keeper FirstImage Processed Image
  8. Applying threshold to identify the Astrocyte cells
  9. Analyzing the particle size using the particle analyzer
  10. Results after analyze Identifying the required size to analyze
  11. Identifying the astrocyte using the analyzed results and ROI manager
  12. 3D Object Viewer Click here
  13. 3D Object Counter
  14. ClickHere
  15. Results
  16. Future Work Working on building the plug-in.
  17. References [1] V. Grau*, A. U. J. Mewes, M. Alcañiz, Member, IEEE, R. Kikinis, And S. K. Warfield, Member, IEEE “Improved Watershed Transform For Medical Image Segmentation Using Prior Information” Ieee Transactions On Medical Imaging, Vol. 23, No. 4, April 2004 [2] Salem Saleh Al-amri, N.V. Kalyankar And Khamitkar S.D “Image Segmentation By Using Thershod Techniques” Journal Of Computing, Volume 2, Issue 5, May 2010, Issn 2151-9617 [3] Takumi Uemura, Gou Koutaki and Keiichi Uchimura "Image Segmentation based on Edge Detection using Boundary code" International Journal of Innovative Computing, Information and Control, volume 7, Number 10, October 2011. [4] Image processing with imagej by Dr. Michael D. Abramoff, University of Iowa Hospitals and Clinics; Dr. Paulo J. Magalhaes, University of Padua; and Dr. Sunanda J. Ram, Louisiana State University Health Sciences Center.
  18. Thanks!
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