AI-Powered Diagnostic Tests
to make your lab more efficient

Blood Differential, O&P Fecal, Cervical Cytology, and more …

AI-Powered Diagnostic Tests

Techcyte saves laboratories time and money by assisting hematopathologists with computer-assisted blood differentials using artificial intelligence.

The Techcyte Blood Differential uses deep machine learning to identify the monolayer, and classify white blood cells and red blood cells into the following categories:

White Blood Cells

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

Red Blood Cells

  • Hypochromasia
  • Polychromasia
  • Microcytosis
  • Macrocytosis
  • Anisocytosis
  • Poikilocytosis

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. Usage outside the US is dependent upon a country’s regulations. Please, contact us if you have any questions.

Status: Contact us for details. Varies by country.

Contact Techcyte for pricing.

Bacteriology testing is a key component in clinical laboratories and hospitals.

In most cases it is based on a set of sub-tests that includes a bacterial culture which provides indications of live bacteria that grow, and the direct microscopic examination that provides indications of the bacterial flora present at the time the sample was taken.

The direct microscopic exam is a vital step in bacteriology testing, as it gives the bacteriologist a true picture of the patient. It can reveal things about the patient’s bacterial flora that the culture sometimes misses (eg. If the patient was taking antibiotics at the time the sample was taken, the culture would not show that bacteria), and some bacteria don’t grow in culture mediums). But it has several disadvantages, including: technician fatigue, difficult working conditions, and the cost and time it takes to perform the analyses.

AI automation
Our technology uses deep machine learning to automatically locate and classify bacteriology morphotypes, dramatically reducing the time and effort it takes to perform direct examination reads.

How it works
Our technology works with any gram-stained slide, scanned in using an 80x lens and uploaded to our platform. Results are delivered in mere minutes once uploaded.

What we deliver
Our software identifies and classifies the following organisms:

  • Gram positive bacilli
  • Lactobacillus
  • Corynebacteria
  • Gram negative bacilli
  • Gram positive cocci
  • Gram negative cocci
  • Spirochaete
  • Fuso-spirillarium
  • Mobiluncus
  • Gardnerella
  • Erythrocytes
  • Leukocytes
  • Epithelial cells
  • Clue cells
  • Brush cells
  • Yeast, Filamentous mycelium
  • Trichomonas

You can define workflows that suit your organization’s particular needs, and we offer full reporting of both data and images through an easy-to-use API allowing your LIS to seamlessly communicate with our software, or you can use our customizable report template.

The impact of using AI in your laboratory bacteriology setting is significant:

  • Reduced cost through decreased read time
  • Elimination of workflow bottlenecks in performing direct examinations
  • Improved inter- and intra-operator consistency in reporting and grading
  • Vastly improved working conditions for technicians
  • Improved traceability of results

In the United States, Techcyte is for research use only. Usage outside the US is dependent upon a country’s regulations. Please, contact us today, we’d love to talk with you and show you how AI can work for your laboratory.

Techcyte helps laboratories perform cervical cytology tests more accurately.

The Techcyte Cervical Cytology (Papanicolaou) Test uses deep machine learning to categorize cells and organisms defined in the 2014 Bethesda System.

  • Organisms
    • Trichomonas Vaginalis
    • Candida
    • Clue Cells
    • Actinomyces Spp.
    • Herpes Simplex
  • Non Neoplastic
    • Atrophy
    • Reactive
    • Radiation
    • Endometrial
  • Atypical Squamous
    • ASC-US
    • ASC-H
    • LSIL
    • HSIL
    • Carcinoma
  • Glandular Cells
    • Atypical Glandular – NOS
    • Atypical Glandular – Favor Neoplastic
    • Endocervical Adenocarcinoma In Situ
    • Adenocarcinoma
      • Endocervical Adenocarcinoma
      • Endometrial Adenocarcinoma
      • Extrauterine Adenocarcinoma
      • Adenocarcinoma – NOS
    • Typical Endocervical Cell
  • Other
    • Neutrophil Cell
    • Erythrocyte

The Techcyte Cervical Cytology (Papanicolaou) Test analyzes any good-quality, 40x image. Slides must be prepared using a liquid-based preparation.At this time, conventional pap smears are not supported.

The Techcyte Cervical Cytology (Papanicolaou) Test is not FDA approved for clinical use and should only be used as a lab-developed test to assist pathologists in their diagnosis.  

Status: Contact us for details. Varies by country.

Contact Techcyte to request access to the closed beta program.

Techcyte helps laboratories perform an O&P stool examination faster by eliminating the negative samples and identifying ova and parasites in stool samples.

The Techcyte O&P Fecal Test uses deep machine learning to categorize the following organisms and cells:

  • Giardia lamblia cysts
  • Giardia lamblia trophs
  • Blastocystis hominis
  • Dientamoeba fragilis
  • Entamoeba coli
  • Endolimax nana
  • Chilomastix mesnili
  • Entamoeba histolytica/dispar
  • Entamoeba hartmanni
  • Iodamoeba butschlii
  • White blood cells
  • Red blood cells
  • Charcot-Leyden crystals

The Techcyte O&P Fecal Test analyzes any good-quality 40x image.  Slides must be prepared using a trichrome stain.

The Techcyte O&P Fecal Test is not FDA approved for clinical use and should only be used as a lab-developed test to assist pathologists in their diagnosis.  

Status: Live/In Production

Techcyte is currently researching the following diagnostic tests.

  • Bone marrow aspirate
  • CTC detection 
  • FNA
  • Urine
  • Pleural fluid

If your organization has domain expertise and access to samples, we would like to speak with you about a potential partnership.

Techcyte is a cloud-based image-analysis and deep-learning solution developed for research purposes only.

Techcyte Proves the Value of Digital Diagnostics

In the May issue of the Journal of Clinical Microbiology, Vol. 58, Issue #6, described a validation of Techcyte’s process for detecting protozoa in trichrome-stained fecal smears. The study describes using Techcyte’s AI-based digital diagnostic tools to review and screenout parasite-free smears, which would allow parasitologists to focus on confirming and characterizing protozoa that are detected—saving valuable time and effort.

This is not a pilot study, but a full validation of Techcyte’s solution, which includes accuracy, precision, and limit of detection analysis.

In the same issue, Daniel Rhoads, MD., Department of Pathology, Case Western Reserve University, wrote an editorial opinion on the study, which includes additional insights.

“Computer vision represents the next frontier in laboratory diagnostics. Computer vision in the year 2020 is analogous to PCR in the year 2000. AI in general and computer vision in specific are emerging diagnostic tools for clinical microbiology.”