Otolaryngology Image Analysis Laboratory:
ENT Imaging

The Research Group of Otolaryngology image analysis laboratory (ENT Imaging) develops systems/software that automates research techniques and/or other projects using inexpensive, off-the-shelf imaging hardware and software. It is designed to make data collection for research and industrial projects easier, faster, and more consistent. ENT Imaging is able to develop software for any image analysis application. Below are a few image software applications designed and developed by ENT Imaging. For more information on developing image analysis software, email ENT Imaging: kkarcich@hotmail.com, or call us at: (716) 275-1210.

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Current Software Projects

I. Object Motility and Image Acquisition Software

This software was designed to count moving objects over several fields of view (FOV). In addition, the software will track the objectÕs movement from frame to frame in a separate image window through the use of arrows. Each objectÕs movement in each frame is collected and stored into a data table that is accessible once the program has finished running. In addition to collecting data on distance traveled, the program also collects data on the objectÕs instantaneous velocity, velocity, and mean distance traveled. The software is presently designed to track moving cells, but can be modified to track the movement of other objects and/or animals (mice, rats, fish, etc.).

The software is able to collect such data on objects and/or animals through the use of the image acquisition portion of the program. The image acquisition setup will allow the user to set the total duration of image acquisition and the time interval between each captured image. The user is allowed to set the file path, file prefix, and file numbering for the sequence of captured images. The image acquisition also has a live image window built into the program so that the user can appropriately align the image window onto the desired field of view before acquiring images. Interested? Please read our more in-depth description.

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Cancerous fibroblasts	Arrows showing cell motility	Motility Data Output Table
52K	37K	40K
Animation of moving cells

II. Quality Control Analysis Software

This software was designed to analyze the red, green, and blue (RGB) lines on a television monitor through color segmentation. The software analyzes the RGB lines with a user ø defined "sampling number." The sampling number sets the degree of precision with which the program analyzes each line. The program then performs measures on the variation in the width of the RGB lines, the distance between adjacent lines (e.g., red to green, green to blue), the distance between groups of lines (e.g., red to blue), and the distance between similarly colored lines (e.g., green to green). This program uses color segmentation and the x-intercept method to perform these measures. The program then gives summary statistics on measurement differences between monitors.

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RGB lines on a TV monitor	Software interface
71K	20K
Statistical output	X-intercept method
35K	47K

III. Labeled Cell Counter Software

This software was specifically designed to count cells in any medium through an

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Labeled cell counting with 75 µm counting grid	Labeled cell counter
72K	21K
Labeled cell summary statistics	Labeled cell counting without counting grid
31K	112K

 

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