This dataset identifies 14 published records matching the in cell structural imaging search scope, covering filings from 2015 through the 2026 cut-off. That is a small, early-stage field compared to most computational-imaging niches. The count should be read as a snapshot: recent years are understated because publication typically lags filing by around 18 months, so 2025-2026 figures will rise as more applications publish.

Five assignees make up the entire ranked list in this dataset, and together they account for all 14 records in scope — there is no long tail of additional filers visible here. The leader alone holds 7 records, with the remaining four splitting the rest down to a single record for the fifth-ranked assignee. All five are universities or public research-funding bodies rather than commercial instrument makers, which reflects the grant-funded, method-development character of the field so far.

G06T, covering image data processing and generation, appears in 50.0% of the 14 records and is the single most common classification. G01N, material analysis and testing, follows at 35.7%. Classes tied to biological application — C07K peptides, A61K medicinal preparations, A61P therapeutic activity, and C12N genetic engineering — each sit at 21.4% or below, showing that claim density concentrates on the imaging and reconstruction pipeline rather than on any specific downstream biological use.