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

AssigneeTypePlaceAlso on furp.orgSource
University of South Florida 1,559 patentsUS state governmentTampa, FLUniversity 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 patentsUS company or organizationSt. Petersburg, FLSTEREOLOGY RESOURCE CENTER, INC State business registration EXACT high confidence: identical full name and statePVGPATDIS, file of 2026-04-10

Inventors

InventorPlacePatentsPerson pageSource
Palak Pankajbhai DaveWesley Chapel, FL2PVGPATDIS, file of 2026-04-10
Dmitry GoldgofLutz, FL19PVGPATDIS, file of 2026-04-10
Lawrence O. HallTampa, FL10PVGPATDIS, file of 2026-04-10
Peter Randolph MoutonPasadena Isle, FL8PVGPATDIS, file of 2026-04-10

CPC categories

SubclassCategoryFirst groupSource
G06TImage data processing or generation, in generalG06T7/0014PVGPATDIS, file of 2026-04-10
G06NComputing arrangements based on specific computational modelsG06N3/0464PVGPATDIS, file of 2026-04-10
G06VImage or video recognition or understandingG06V10/82PVGPATDIS, 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.