Shape, size, and distribution of cell structures by 3-D graphics reconstruction and stereology. I. The regulatory volume decrease of astroglial cells.

This report discusses fundamental limitations in attempting to derive cell size, shape, or distribution from the two-dimensional images provided by conventional electron microscopy. Morphometric or stereologic measurement of random thin sections is a convenient way to obtain some information of this type. However, it cannot provide complete, objective information about real size, shape, or connectivity of cells containing irregular or unevenly distributed structures or nonuniform populations of cells. Anisotropic structures require analysis of a complete set of serial sections. The analysis may utilize either stereo, mono, or tilted optical slices, and subsequent integration of this information into a single 3-D computer data set. In this study, we analyze stereo pairs of high-voltage electron micrographs of serial thick sections (0.5 micron) and critical-point-dried whole-cell mounts of rat brain astroglial cell cultures. The Z-axis resolution is increased by digitizing contours at discrete levels within each stereo view. This is accomplished with a new type of stereoscopic contouring device. We calculated area and volume changes accompanying hypo-osmolar swelling and spontaneous reversal of the swelling. (Regulatory Volume Decrease-RVD). An understanding of the mechanism of swelling of astroglial cells is important for improving the treatment of brain injury. The total cell-volume results are comparable with results previously obtained using nonmetabolized, radioactively tagged compounds that diffuse into various cell compartments. Our serial-section and whole-cell data also provide new information about the relative swelling of nucleus, cytoplasm, and individual organelles such as mitochondria. The basic biological problem being approached is whether homeostasis of cell function is accompanied by surface area and volume regulation of enzyme-rich membranes and organelles. Conversely, it is proposed to explore the possibility that abnormal organelle areas and volumes are indicators of perturbations of cell division, metabolism, or gene expression.