Array Tomography

The serial section series provides neighboring views of the same specimen, allowing a structure to be followed from one section to the next rather than interpreted from a single plane. Computational alignment places those views into a common spatial framework. This continuity supports analysis of cell identities, tissue architecture, neurite growth, and synaptic connectivity as three-dimensional relationships.

Array tomography can pair fluorescence microscopy with electron microscopy to examine complementary levels of organization. Fluorescence reveals labeled molecular or cellular features, whereas electron imaging contributes detailed views of subcellular organization. Repeated imaging of the same section series makes it possible to relate markers to fine structural arrangements instead of treating molecular and anatomical observations as separate datasets.

Sections collected on a stable substrate remain available for repeated staining and imaging. That persistence extends the value of one serial sample because investigators can revisit the same section series with additional molecular labels and microscopy observations. In developmental studies, this enables multimodal comparisons that connect cell or tissue markers with structural changes across complex specimens.

Computational alignment is the step that converts separately imaged sections into an interpretable series. By registering corresponding views, it supports reconstruction of structures across the section set and allows observations from successive planes to be compared. This matters when developmental questions concern changing architecture, extending neurites, or connectivity that cannot be characterized adequately in one isolated section.

A typical workflow begins with resin embedding, followed by sectioning the sample into ultrathin ribbons. The sections are collected on a stable substrate, then imaged sequentially using fluorescence microscopy, electron microscopy, or both. Computational alignment brings the resulting image series together, enabling reconstruction and subsequent comparison of cellular or subcellular features across the specimen.

Array tomography is especially informative when development involves coordinated changes in cell identity, tissue architecture, neurite growth, or synaptic connectivity. Its section-by-section spatial record helps investigators examine these features across complex specimens rather than focusing on one isolated plane. The method therefore links developmental changes in organization with molecular markers and high-resolution structural observations.

Repeated staining allows the same available section series to be examined with additional molecular markers after an initial imaging pass. Those marker patterns can then be compared with structural observations obtained from the corresponding sections. In developmental research, this multimodal strategy helps relate changing cell identities or tissue organization to neurite growth and synaptic connectivity.