Patents
US 12229959 B2: Systems and methods for determining cell number count in automated stereology z-stack images
- Granted
- 2025-02-18
- Filed
- 2022-10-21 application 17971295
- Type
- Utility · 25 claims
- Elsewhere
- Google Patents ↗ · USPTO patent document ↗ · USPTO Patent Center record ↗
Abstract
Systems and methods for automated stereology using deep learning are disclosed. The systems include an update in the form of a semi-automatic approach for ground truth preparation in 3D stacks of microscopy images (disector stacks) for generating more training data. The systems also present an exemplary disector-based MIMO framework where all the planes of a 3D disector stack are analyzed as opposed to a single focus-stacked image (EDF image) per stack. The MIMO approach avoids the costly computations of 3D deep learning-based methods by using the 3D context of cells in disector stacks; and prevents stereological bias in the previous EDF-based method due to counting profiles rather than cells and under-counting overlap-ping/occluded cells. Taken together, these improvements support the view that AI-based automatic deep learning methods can accelerate the efficiency of unbiased stereology cell counts without a loss of accuracy or precision as compared to conventional manual stereology.
Source: PVGPATDIS, file of 2026-04-10 (ipg250218.xml).
Assignees
| Assignee | Type | Place | Also on furp.org | Source |
|---|---|---|---|---|
| University of South Florida 1,559 patents | US state government | Tampa, FL | University of South Florida College or university EXACT high confidence: identical full name and state UNIVERSITY OF SOUTH FLORIDA Federal lobbying client EXACT high confidence: identical full name and state THE UNIVERSITY OF SOUTH FLORIDA Nonprofit FUZZY medium confidence: same name (governing-board words and legal endings aside) and state | PVGPATDIS, file of 2026-04-10 |
| STEREOLOGY RESOURCE CENTER, INC. 6 patents | US company or organization | St. Petersburg, FL | STEREOLOGY RESOURCE CENTER, INC State business registration EXACT high confidence: identical full name and state | PVGPATDIS, file of 2026-04-10 |
Inventors
| Inventor | Place | Patents | Person page | Source |
|---|---|---|---|---|
| Palak Pankajbhai Dave | Wesley Chapel, FL | 2 | PVGPATDIS, file of 2026-04-10 | |
| Dmitry Goldgof | Lutz, FL | 19 | PVGPATDIS, file of 2026-04-10 | |
| Lawrence O. Hall | Tampa, FL | 10 | PVGPATDIS, file of 2026-04-10 | |
| Peter Randolph Mouton | Pasadena Isle, FL | 8 | PVGPATDIS, file of 2026-04-10 |
CPC categories
| Subclass | Category | First group | Source |
|---|---|---|---|
| G06T | Image data processing or generation, in general | G06T7/0014 | PVGPATDIS, file of 2026-04-10 |
| G06N | Computing arrangements based on specific computational models | G06N3/0464 | PVGPATDIS, file of 2026-04-10 |
| G06V | Image or video recognition or understanding | G06V10/82 | PVGPATDIS, file of 2026-04-10 |
Cooperative Patent Classification, as currently assigned (one row per subclass).
Assignments and security interests
No recorded assignments or security interests on file for this patent.
USPTO bulk data: PatentsView granted patents, disambiguated (PVGPATDIS) for patents, assignees, inventors, places and CPC categories; the USPTO Patent Assignment Dataset (ECORSEXC) for assignments and security interests. Patents filed in the last 20 years. No claims or full text. Links to other records are by name (and state): EXACT means the identical full name and state; FUZZY means a looser name match, with the confidence shown.