Update README.md

Author: amatov

README.md

@@ -6,15 +6,15 @@
 
 #### In the folder OpenCVvideo, I have uploaded the image processing and feature segmentation results of my algorithm frame by frame; the moving blobs look like missiles. For some of the 501 frames, I have switched the functionality betweem displaying the raw segmentated areas to showing the computed motion tracks
 
-##### I have descriped a clinical application of this real-time computer vision analysis approach here: http://dx.doi.org/10.13140/RG.2.2.25725.13281/1
+##### I have descriped a clinical application of this real-time computer vision analysis approach here: http://dx.doi.org/10.13140/RG.2.2.25725.13281/1 (5 PDF files) 
 
-##### I described an application for the ex vivo analysis of patient samples in multiple myeloma, acute myeloid leukemia, and myelodysplastic syndromes here: http://dx.doi.org/10.13140/RG.2.2.29049.44644/1
+##### I described an application for the ex vivo analysis of patient samples in multiple myeloma, acute myeloid leukemia, and myelodysplastic syndromes here: http://dx.doi.org/10.13140/RG.2.2.29049.44644/1 (7 PDF files) 
 
-##### I described an application for drug discovery in glioblastoma here: http://dx.doi.org/10.13140/RG.2.2.11459.58409/2
+##### I described an application for drug discovery in glioblastoma here: http://dx.doi.org/10.13140/RG.2.2.11459.58409/2 (2 PDF files) 
 
 ##### DataSet Tracker is an openCV-based motion tracking software with real-time camera control and analysis using background subtraction and a watershed algorithm to select image features for tracking, coupled with a Lucas-Kanade optical flow display and a statistical representation of the readout parameters. 
 
-##### A demo of the beta version developed in the cross-platform game engine Unity and designed to run on personal computers, smartphones, and smart glasses hardware, and suitable for resource-constrained, on-the-fly computing in microscopes without internet connectivity can be viewed at https://lnkd.in/gHxqxMXe
+##### A demo of the beta version developed in the cross-platform game engine Unity and designed to run on personal computers, smartphones, and smart glasses hardware, and suitable for resource-constrained, on-the-fly computing in microscopes without internet connectivity can be viewed at https://lnkd.in/gHxqxMXe (3 movie files) 
 
 ##### The video shows computer vision analysis of the motion of synthetic markers, which mimic live-cell fluorescent microscopy image sequences. Displacement vectors color-coding is used to show the angular direction as well as the speed of motion. A button selection allows changing the display preferences.