Semiquantitative analysis of in-situ hybridization results using IMAGE software: a rapid method for counting reduced...

The advent of microcomputers has brought about a revolution in the computing power available to the average user. Image analysis is a very resource-intensive process, making great demands on computing power, memory, and display capabilities of most computers. Thus, in the past, dedicated, single-use hardware and software had to be custom made for environments requiring image analysis. We present here an easy-to-use image analysis protocol available to most users with a Macintosh II series computer and access to IMAGE (a public domain image analysis program). The protocol allows for semi-quantitation of silver grains over cells used in the interpretation of in-situ hybridization results. We show that the method provides a quick and reliable means of counting grains over mRNA-positive cells in an automated fashion. We also provide evidence that the method can be used to detect differences between experimental treatments.