The scanning laser acoustic microscope (SLAM) has the capability of determining the spatial distributions of attenuation coefficient and speed in materials under evaluation. The attenuation coefficient is determined by the insertion loss procedure [K. M. U. Tervola et al., IEEE Trans. Sonics Ultrason. SU-32, 259–265 (1985)], which compares the received signal amplitude of a specimen of known thickness in the sound path with that of the reference medium. The entire image is broken into 64 subimage areas, each of approximately 400 uμm × 250 uμm in size. This subarea image is used to determine the insertion loss. The slope of the linear least-squares fit line for an insertion loss versus specimen thickness plot yields the attenuation coefficient. Using known materials, the attenuation coefficient accuracy and precision are −+ 12% and −+ 5%, respectively. Ultrasonic speed is determined from the interference mode image by way of the spatial frequency domain technique [K. M. U. Tervola and W. D. O'Brien, Jr., IEEE Trans. Sonics Ultrason. SU-32, 544–554 (1985)]. The image's field of view (3mm × 2 mm) contains approximately 39 vertical interference lines equally spaced about 85 uμm apart. The speed of sound is determined by the horizontal shift of the interference lines between the reference medium and the specimen. Again, using a known material, the speed accuracy, and precision are −+ 2.9% and −+ 0.4%, respectively. Smaller regional differences can be distinguished with the speed analysis than the attenuation coefficient analysis. Each speed pixel is approximately 4 uμm × 8 uμm and a speed profile (80 uμm × 2 mm) along the vertical direction of the image is generated. In contrast, in each insertion loss pixel (400 uμm × 250 uμm), an average insertion loss value per section is generated over a region approximately 1 mm × 1 mm in extent. Further, at least three separate sections are required to calculate the attenuation coefficient. The application of SLAM towards an understanding of ultrasonic interaction action with biological materials is being studied by a number of different animal and tissue models. These models consider both normal and pathologic, homogeneous and heterogeneous, and soft and hard tissues. [Work supported by NIH Grants AM21557, CA30629, and AR36794.]