Conversational Pathology Copilot
Loupe 是一款会话式数字病理副驾驶:在全切片影像上一边阅片一边提问。它调用病理视觉模型与文献工具,给出可核查的推理、结构化量化与一键可采纳的标注草稿——病理医生始终掌握最终决定权。Loupe is a chat-first copilot for whole-slide imaging. Ask while you read; it calls pathology vision models and literature tools, returning verifiable reasoning, structured quantification, and one-tap annotation drafts — pathologist always in control.

亮点 / Why Loupe
用自然语言提问,得到带工具调用痕迹的可核查回答。Ask in plain language; get answers backed by a visible tool trace.
IHC 阳性率、H-score、鉴别诊断与 PubMed 引用,就地呈现。IHC positivity, H-score, differential & PubMed — rendered inline.
智能体批量产出草稿,你逐条接受/驳回,预算与审计可控。Agents batch-draft; you accept/reject, with budgets & audit.
采纳率遥测、成本与审批率,部署可被量化与优化。Adoption telemetry, cost & approval rate — measurable, tunable.
业务流 / How a case moves through Loupe
Loupe 不是一堆零散功能,而是顺着真实诊断流程把 AI 嵌进每一步——而决定权始终在病理医生手里。Loupe isn’t a bag of features — it threads AI through the real diagnostic flow, with the pathologist deciding at every step.
01 接入与预读分诊 / Ingest & triage
上传或从 DICOMweb 导入全切片影像。Loupe 自动算出质控评分、写出一段“镜下预读”,并按器官归类——让你从最该看的切片开始。Upload or import WSIs via DICOMweb. Loupe scores QC, writes a scan-time pre-read, and groups by organ — so you start with the slide that matters.

02 会话式阅片 / Conversational read-out
选区直接提问。Loupe 调用工具读取该区域、做组织/细胞统计、量化 IHC(如 ER 92%、H-score 285)、检索 PubMed,并摆出它考虑过的鉴别诊断——不是只给结论。Select a region and ask. Loupe reads the tile, computes stats, quantifies IHC (e.g. ER 92%, H-score 285), cites PubMed, and shows the differential it weighed — not just a verdict.

03 自主智能体批处理 / Autonomous agents
“标出所有侵袭性肿瘤前沿并标记出芽灶”——智能体在迭代/时长/Token 预算内自主规划执行,逐张切片产出标注草稿,可对整组切片一键派发。“Map every invasive front and flag tumor budding.” The agent plans and runs within iteration / time / token budgets, drafting annotations per slide — dispatch across a whole case at once.

04 人审采纳 / Human review & adopt
任务详情展示分步计划、预算用量与活动轨迹;草稿队列可逐条或批量接受/驳回,校验器把低置信项顶到队首;驳回理由进入下一轮提示。The task page shows the plan, budgets and activity trace; accept/reject drafts singly or in bulk, with a verifier surfacing low-confidence ones — and your reasons feed the next run.

05 多切片对比 / Compare in sync
把同一病例的多张切片(H&E + MMR PMS2/MSH6,或 H&E + ER)放进同步缩放平移的对比视图——例如本例 MSH6 缺失提示错配修复缺陷、需 Lynch 筛查。Put a case’s slides (H&E + MMR PMS2/MSH6, or H&E + ER) into a pan/zoom-synced comparison — here MSH6 loss flags mismatch-repair deficiency for Lynch workup.

06 遥测与治理 / Telemetry & governance
跟踪分类器采纳率随置信度与时间的走势、按标签的接受情况,以及智能体的成本与审批率——让整个部署可被治理、可被优化。Track classifier adoption by confidence and over time, per-label acceptance, and agent cost & approval rate — so the whole deployment can be governed and tuned.

细节一览 / In detail
统一尺寸的特写——每一处关键读数都清晰可读。Uniform close-ups — every load-bearing number, clearly legible.






版本与部署 / Editions & deploy
FastAPI + SQLAlchemy 异步后端、React 19 + OpenSeadragon 前端、OpenSlide 切片管线、可插拔多 LLM;提供 Docker / GPU / HTTPS 反代与 DICOMweb 导入。Async FastAPI + SQLAlchemy, React 19 + OpenSeadragon, OpenSlide pipeline, pluggable multi-LLM; Docker / GPU / HTTPS deploys and DICOMweb import.
| 能力 / Capability | Commercial 商业版 | Education 教育版 |
|---|---|---|
| 会话阅片 · 标注 · 报告草稿Chat read-out · annotations · report draft | ✓ | ✓ |
| 自主智能体 · 遥测 · 多切片对比Agents · telemetry · comparison | ✓ | ✓ |
| 病理基础模型 UNI / CONCHPathology foundation models UNI / CONCH | — | ✓ (CC-BY-NC-ND) |
| 相似瓦片检索Similar-tile search | 颜色纹理指纹color/texture fingerprint | ✓ UNI embeddings |
| 镜像 / 适用场景Image / use | 最小镜像 · 云端可商用smallest · cloud-defensible | 含权重 · 仅非商业科研教学weights baked · non-commercial |
Gemini / OpenAI / MiniMax / Kimi 经统一兼容层接入。Gemini / OpenAI / MiniMax / Kimi via one compatible layer.
JWT 鉴权、登录限流、全量审计事件、HTTPS 反代。JWT auth, rate-limit, full audit log, TLS proxy.
OpenSlide 多厂商格式 · DZI 瓦片 · DICOMweb 导入。OpenSlide formats · DZI tiles · DICOMweb import.