Hamamatsu Corporation

Image Processing and Analysis (IPA) broadens SimplePCI with customized icon driven work-files (macros) for multiple applications. Dynamic interaction between image objects, graphs, and tables provide instant user feedback. Create custom measurements with built-in equation editor to expand over 150 measurements, including count, size, shape, position, intensity and color of objects in an image.

IPA Features:

Apply pixel processing to images using median, smooth, gradient, laplacian, sobel, kirsch, erode, dilate or other filters

Define objects with monochrome/color threshold, or graphical drawing tools

Modify detected binary objects using separate, erode, dilate, skeleton, prune, node, AND/NOT/NOR, plus accept/reject/draw/erase editor functions

Qualify objects for measurement by threshold on size, shape, position, color and intensity combinations

Interactively display measured data with statistics, histograms, tables and spreadsheet displays

Automatically run work-files on stored image files for post analysis

Applications:

Quantitative autoradiography and densitometry

In-situ hybridization using grain counting techniques

Vessel morphometry and angiogenesis

Multi-color immunostain analysis

Neural process density

Cell counting and quantification

Motion Tracking Analysis (IPA-MTA)

Image Processing Analysis and Motion Tracking Analysis (IPA-MTA) compliments SimplePCI to track multiple objects across time separated image sequences. Data documents store images as fields for convenient analysis using IPA of size (area), position (center of gravity) and time (field time). MTA rapidly tracks through measured data to report distance moved with straight and curved line velocity.

MTA Features:

Rapid tracking of multiple objects automatically

Adjustable parameters

Determine object velocity

View Individual object trajectory

Show actual, averaged and straight line velocity

Save tracked objects as AVI movies

Export data to spreadsheet

Tracking Information:

Cell position - X, Y coordinate

Cell area - number of pixels

Distance - length of a line in calibrated units (e.g. Microns)

Velocity - average speed along the track (distance/time taken)

Direction - angle measured in degrees

Number of points - how many consecutive images contain the same object in a track

Linearity - factor indicating how close the track is to a straight line

Straightness - fractional ratio between straight line and mean path

ALH mean - mean amplitude of transitions either side of mean path

ALH max - maximum amplitude of transitions either side of mean path

Circ radius - computed radius constraining circular motion of a subject

BCF - beat cross frequency, reports how often a track crosses its mean path

Applications:

Motion analysis

Quantify velocity, distance and direction

Sperm motility

Moving bacteria

Compatible with high speed streaming

Quantify slow speed and irregular time sequences

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Image Processing and Analysis (IPA)

Motion Tracking Analysis (IPA-MTA)