The Techcyte Complete Blood Count Digital Differential is software that confirms abnormal hematological cell counts and morphologies quickly to help determine whether further tests are needed. Our robust solution does not require proprietary hardware and can easily be implemented into existing workflows.
Product
Automated Blood Differential
Challenge & solution
As lab technicians battle eye strain, physical fatigue, distraction and piled-on workloads, their efforts are more prone to human error.
Techcyte saves laboratories time and money by assisting hematopathologists with AI-analyzed blood differentials. Unlike humans, AI doesn’t get overworked or tired and has consistent results.
How it works
Our Blood Differential algorithm uses deep machine learning to automatically identify the monolayer on a normal blood smear and classify white blood cells and red blood cells along with platelets into the following classifications:
AI performs a pre-classification of WBCs and RBCs prior to the case being signed out by a technician, who reviews and corrects any cells.
- Segmented neutrophils
- Band neutrophils
- Eosinophils
- Basophils
- Lymphocytes
- Monocytes
- Blast cells
- Promyelocytes
- Myelocytes
- Metamyelocytes
- Variant lymphocytes
- Smudge cells
- Artifacts
- Unidentified cells
- Polychromatic cell
- Hypochromic cell
- Anisocytosis
- Microcyte
- Macrocyte
- Target cell
- Schistocyte
- Sickle cell
- Spherocyte
- Elliptocyte (Ovalocyte)
- Teardrop cell
- Stomatocyte
- Acanthocyte
- Echinocyte
- Blister cells
- nRBC
- Large platelets
- Giant platelets
- Aggregated platelets
Features
The Techcyte Blood Differential analyzes any good-quality 40x image. Slides must be prepared using a May Grünwald Giemsa, Wright Giemsa, or Giemsa stain.
In the United States, Techcyte is for research use only. In Europe, Techcyte has earned the CE-IVD label.
Benefits
Faster turnaround times
Improved accuracy with side-by-side comparison of digitized cells
Increased consistency
Less eye strain and physical fatigue
Easier classification of abnormal cells
Simpler technician training
Capability for archiving rare disorders