Cellprofiler analyst download Patch#

Certain repetitive tasks in visual analysis are suitable for automation by collecting digital images and processing them with image analysis software. While nothing can fully replace the expertise of a trained biologist, observing many samples by eye is time-consuming, subjective, and nonquantitative. One of the most powerful methods in biology is the visual analysis of a sample. This free, easy-to-use software enables biologists to comprehensively and quantitatively address many questions that previously would have required custom programming, thereby facilitating discovery in a variety of biological fields of study. Small numbers of images can be processed automatically on a personal computer, and hundreds of thousands can be analyzed using a computing cluster.

The software automatically identifies objects in digital images, counts them, and records a full spectrum of measurements for each object, including location within the image, size, shape, color intensity, degree of correlation between colors, texture (smoothness), and number of neighbors.

Cellprofiler analyst download Patch#

The applications demonstrated here include yeast colony counting and classifying, cell microarray annotation, yeast patch assays, mouse tumor quantification, wound healing assays, and tissue topology measurement.

Here we describe the use of the open-source software, CellProfilerв„ў, to automatically identify and measure a variety of biological objects in images. Careful visual examination of biological samples is quite powerful, but many visual analysis tasks done in the laboratory are repetitive, tedious, and subjective.