Prosecution Insights
Prosecution Insights
Technology areas: Biotechnology & Pharmaceuticals • Communications
5 pending office actions • 4 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready • 2 patents granted in the last 365 days
Akoya Biosciences, Inc. maintains 5 pending office actions within the Biotechnology & Pharmaceuticals technology area. These actions are spread across 4 distinct art units, reflecting the specialized nature of their biological and pharmaceutical innovations. The portfolio involves 5 distinct examiners, which distributes the prosecution across multiple individuals at the patent office. This diversity in examiners and art units suggests that the company's Biotechnology & Pharmaceuticals research is being evaluated from 4 different technical angles.
The busiest examiner, NEFF, MICHAEL R, is currently handling 1 pending office action. Since there are 5 distinct examiners for the 5 pending office actions, each examiner is responsible for exactly 1 matter. This one-to-one ratio suggests that prosecution outcomes will depend on the specific tendencies of the 5 distinct examiners across the 4 distinct art units. Practitioners should be prepared for a range of examination styles, as no single examiner has a controlling influence across the current office actions.
Based on the USPTO statutory response window for each pending office action. 2 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Difficulty is derived from the rejection statutes on the most recent pending office action. §101-driven and multi-statute cases are graded Hard; §112-only and obviousness-type double-patenting cases are graded Easy; everything else is Medium. "Unknown" means we have not yet parsed a statute for that office action.
| Bucket | Cases |
|---|---|
| §101 only | 1 (20%) |
| §103 only | 1 (20%) |
| Multi-statute (no §101) | 3 (60%) |
How the docket's pending cases split across USPTO tech-center bands.
Manual office-action response work runs about 10 hours per case. The time-saved bands below show what IP Author's prosecution pipeline typically delivers — a conservative 20% on the low end, 35% in the middle, 50% on the high end.
| Examiner | Apps on this docket | Allow rate | Interview lift |
|---|---|---|---|
| NEFF, MICHAEL R | 1 | 87.5% | +14.5% |
| CAPUTO, LISA M | 1 | 37.7% | +5.8% |
| KAPUSHOC, STEPHEN THOMAS | 1 | 46.5% | +53.5% |
| HANEY, AMANDA MARIE | 1 | 36.4% | +44.9% |
| RILEY, JEZIA | 1 | 82.9% | +7.3% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17743799 | Amplification of RNA Detection Signals in Biological Samples | RILEY, JEZIA | 24d overdue |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17787075 | RNA Detection | HANEY, AMANDA MARIE | 65d |
| 19026723 | PROCESSING AND IMAGING TISSUE SAMPLES | NEFF, MICHAEL R | — |
| 18717652 | SURFACE SENSING IN AUTOMATED SAMPLE ANALYSIS | CAPUTO, LISA M | — |
| 17961630 | Detection of Co-Occurring Receptor-Coding Nucleic Acid Segments | KAPUSHOC, STEPHEN THOMAS | — |
Cases in front of an examiner whose interview lift is 10 percentage points or more — i.e. interviewed cases historically resolve more favorably than non-interviewed ones. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17787075 | RNA Detection | HANEY, AMANDA MARIE | 65d |
| 19026723 | PROCESSING AND IMAGING TISSUE SAMPLES | NEFF, MICHAEL R | — |
| 17961630 | Detection of Co-Occurring Receptor-Coding Nucleic Acid Segments | KAPUSHOC, STEPHEN THOMAS | — |
| Art Unit | Apps |
|---|---|
| 2631 | 1 |
| 1600 | 1 |
| 1682 | 1 |
| 1681 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19026723 | PROCESSING AND IMAGING TISSUE SAMPLES | NEFF, MICHAEL R | 2631 | §101 | Non-Final OA | — | Pending | Jan 17, 2025 |
| 18717652 | SURFACE SENSING IN AUTOMATED SAMPLE ANALYSIS | CAPUTO, LISA M | — | §102§103 | Non-Final OA | — | Pending | Jun 07, 2024 |
| 17961630 | Detection of Co-Occurring Receptor-Coding Nucleic Acid Segments | KAPUSHOC, STEPHEN THOMAS | 1600 | §103§112Other | Final Rejection | — | Pending | Oct 07, 2022 |
| 17787075 | RNA Detection | HANEY, AMANDA MARIE | 1682 | §103§112 | Non-Final OA | 65d | Pending | Jun 17, 2022 |
| 17743799 | Amplification of RNA Detection Signals in Biological Samples | RILEY, JEZIA | 1681 | §103 | Final Rejection | 24d overdue | Pending | May 13, 2022 |
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