Automated Blood Differential

AI-assisted screening tool that reduces technologist read time, speeding triage and determining whether further tests may be needed.


Our Automated Blood Differential solution is a revolutionary screening tool that helps medical technologists read blood slides more efficiently and accurately using our AI-based algorithm, lab-optimized workflow, and LIS integration.

Our automated blood differential solution classifies and counts the following objects (for a full list see below):

Decoration Icon check White blood cells
Decoration Icon check Red blood cells
Decoration Icon check Platelets (including abnormal and aggregated)

Challenges & Solutions

As lab technologists battle eye strain, physical fatigue, distractions, intense workloads and operator biases, their efforts are more prone to human error. AI doesn’t get overworked or tired and delivers consistent results.

Our solution helps technologists quickly eliminate negative blood samples using a more ergonomic computer monitor and allows them to focus more time on positive cases.

How it works

Our Automated Blood Differential solution uses deep machine learning to analyze any good-quality 40x image, identify the monolayer on a normal blood smear, and perform a pre-classification of white blood cells, red blood cells and platelets for a technologist to efficiently review objects of interest prior to signing out the case.

4-step process:

Create slides

Technologists prepare slides following the current CDC guidelines for blood smears, then a standard Romanowsky-type (May Grünwald Giemsa, Wright Giemsa, or Giemsa) staining protocol. Slides are then coverslipped for scanning.

Scan slides

Technicians load slides into the chosen scanner. Slides are then scanned and the resulting images are automatically uploaded to the Techcyte platform for AI analysis. We accept any good-quality 40x image from a compatible scanner (for a list of compatible scanners, see below).

Process images

Our AI algorithm uses a convolutional neural network to identify differentiating features and determine which combinations indicate a certain blood cells or other diagnostically significant objects. It then places them into the most likely classification for technologist review. This algorithm is deterministic, making the same classification every time it is shown the same image. The whole process takes just minutes.

Review results

A technologist logs into Techcyte on any web-enabled device and reviews available samples, confirming presence of objects of interest and, if required, their prevalence. They can also add notes and request a secondary consult. Once complete, results are sent to their LIS.

Cells Identified

*These claims have not been examined by the FDA.

  • Segmented neutrophils
  • Band neutrophils
  • Eosinophils
  • Basophils
  • Lymphocytes
  • Monocytes
  • Blasts
  • Promyelocytes
  • Myelocytes
  • Metamyelocytes
  • Variant lymphocytes
  • Smudge cells
  • Artifacts
  • nRBC
  • Unidentified cells

  • Segmentation
  • Toxic Vacuolation
  • Platelet Satellism
  • Granulation

  • Nucleated red blood cell (nRBC)
  • Polychromatophilic RBCs
  • Hypochromatophillic RBCs
  • Microcytes (user-customizable normal size threshold)
  • Macrocytes (user-customizable normal size threshold)
  • Target Cells
  • Schistocytes (including bite, helmet, horn, triangular, and small fragments)
  • Sickle Cells
  • Elliptocytes
  • Teardrop cells
  • Stomatocytes
  • Acanthocytes
  • Echinocytes
  • Spherocytes  < 6.5 µm
  • Blister Cells

  • Platelets
  • Large Platelets
  • Giant Platelets
  • Aggregated Platelets (3 or more platelets grouped together)

Supported scanners

Hamamatsu S360

Hamamatsu S360, S20

40x scanning, 20x 0.75 NA objective
3DHistech P250

3DHistech P250, P1000

40x scanning, 20x 0.75 NA objective
Motic EasyScan One

Motic One

40x scanning, 20x 0.75 NA objective


  • State-of-the-art platform
  • AI-proposed images of blood cells and objects of interest, grouped by class and sorted by confidence
  • 30-second read times
  • Object counts
  • Presence of abnormalities
  • Quick drop-down selection of object features
  • Case availability after only 7 minutes after scanning.
  • No daily cycle of fatigue, distraction, or operator bias
  • Levels out sample and stain variations
  • Excels at low prevalence samples
  • High volume, high reliability scanners produce good quality 40x digital images


Decoration Icon check Improves accuracy, efficiency and consistency of reads
Decoration Icon check Reduced technologist stress and fatigue
Decoration Icon check Quick identification of the need for further testing
Decoration Icon check Improved hiring, training and retention of lab techs and technologists
Decoration Icon check More efficient classification of abnormal cells
Decoration Icon check Capability to archive rare disorders
Decoration Icon check Increased contribution margin per test


For investigational use only and not for diagnostic use in the US.
For investigational use only and not for diagnostic use in the US.