Hardware-agnostic evidence review for hematology workflows

Streamline bone marrow and blood smear review.

NanoCure AI organizes bone marrow smears, peripheral blood smears, Flow Cytometry FCS files, and reviewer actions into one traceable workspace for AML, ALL, CLL, CML, and MDS workflow evaluation — without requiring new lab hardware.

No new hardware Reviewer-controlled Source-linked evidence Export-ready packets

Built for existing microscope/camera, scanner/image, and flow cytometry workflows. The reviewer remains the decision-maker; NanoCure AI structures the evidence around them.

NanoCure Evidence OS
TRACEABLE
INPUTBM + PB smearsSlide images, cell crops, source context, and morphology evidence.
INPUTFlow FCS filesDot plots, candidate populations, markers, notes, and QC context.
NanoCure AIingest · map · review · export
REVIEWHeme malignancy workflowsAML, ALL, CLL, CML, and MDS-oriented review support with source traceability.
EXPANDBreast histologyResearch-stage H&E evidence organization for breast cancer review workflows.
01NO HARDWARE SWAP
02CASE-CENTERED
03FLOW + MORPHOLOGY
04EXPORTABLE
Value add

Faster diagnostic review workflows without forcing a hardware change.

Bone marrow and peripheral blood smear review depends on images, cells, counts, notes, Flow plots, screenshots, and case handoff. NanoCure AI turns those disconnected artifacts into a structured evidence layer so teams can review faster, preserve traceability, and export cleaner case packets.

What changes for the lab?

Instead of jumping between microscope images, FCS software, screenshots, folders, spreadsheets, and notes, reviewers work from one case-centered workspace. The platform keeps morphology, Flow, reviewer actions, and source links together.

Streamlined BM/PB smear reviewOrganizes source images, cell crops, review actions, and case-level morphology evidence for hematology workflows.
AML, ALL, CLL, CML, and MDS workflowsDesigned for broad hematologic malignancy evidence review while preserving reviewer interpretation and validation controls.
Flow cytometry beside morphologyFCS plots, candidate populations, marker context, and Flow notes live beside the case evidence instead of in a separate silo.
Workflow

From existing lab files to review-ready evidence packets.

Case first. Modality second. Reviewer always in control.

01

Ingest

Upload bone marrow smears, peripheral blood smears, FCS files, notes, or a complete case folder.

02

Organize

NanoCure AI structures morphology, Flow context, cell crops, plots, and artifacts by case.

03

Review

Qualified reviewers inspect, accept, reject, correct, annotate, and preserve source-linked evidence.

04

Export

Generate evidence packets for QA, research, validation, collaboration, second review, or handoff.

Platform

One product layer across morphology, Flow, and histology evidence.

NanoCure AI is built for review acceleration, evidence organization, and traceable exports — not black-box replacement of pathologist judgment.

BM

Bone marrow smear review

Organize marrow smear images, cell crops, source-slide context, case totals, and reviewer actions.

  • AML/ALL/CLL/CML/MDS workflow support
  • Source-image traceability
  • Review actions captured by case
PB

Peripheral blood smear review

Structure peripheral blood smear evidence for faster cell review, case organization, and reviewer handoff.

  • Existing microscope/camera images
  • Cell-level review surfaces
  • Export-ready morphology packets
F

Flow Cytometry FCS

Turn FCS files into review-ready plots, candidate population context, marker views, and structured Flow evidence.

  • Per-FCS linked plot review
  • Candidate population context
  • Flow notes beside morphology
H&E

Breast histology review

Research-stage histology support for breast cancer H&E evidence organization and review-packet generation.

  • Whole-slide/tile review workflows
  • Evidence packet architecture
  • Coming-soon expansion
Existing lab hardwareDesigned around current microscopes, cameras, scanners, flow cytometers, and file workflows.
Structured review dataCaptures reviewer decisions, annotations, source links, plots, cell crops, and case context.
Operational handoffCleaner exports for QA, workflow evaluation, research review, collaboration, and validation.
Who it serves

Built for the full diagnostic review team.

NanoCure AI helps teams streamline hematology evidence review while preserving the tools, expertise, and decision controls they already use.

Pathologists and hematopathologistsReview organized morphology and Flow evidence without hunting across disconnected images, plots, folders, and notes.
Diagnostic centers and lab directorsEvaluate workflow acceleration, QA visibility, evidence handoff, and operational fit without a hardware swap.
Researchers and CROsBuild cleaner multimodal datasets across smears, Flow, histology, review labels, and disease-focused workflows.
60-day pilot program

Evaluate NanoCure AI on your real hematology workflow.

Controlled pilot access is open for qualified pathology, diagnostics, and research teams evaluating structured BM/PB smear review, Flow FCS review, and evidence packet workflows.

Request access

Include institution, role, intended use, workflow volume, and whether you want bone marrow smear review, peripheral blood smear review, Flow FCS review, breast histology review, or evidence packet evaluation.

Qualified teamsPathology, diagnostics, hematopathology, research, and CRO workflows.
Controlled scopeWorkflow evaluation, evidence organization, reviewer feedback, and traceability.
Request 60-Day Pilot