Bacteriology Gram Analysis

Our bacteriology algorithm software reduces the time, effort and cost it takes to perform direct microscopic exams by using AI to analyze cells from digital images of cytological smears that have been uploaded to the Techcyte platform. 

bacteriology gram analysis bacteriology gram analysis
hands blue gloves holding cytology glass slide


Our software locates, counts and classifies cells from a digital image of a cytological smear from a glass slide that has been uploaded to the Techcyte platform.

The Techcyte bacteriology algorithm may be used to identify various bacteria, cells and yeasts from samples of vaginal origin. Currently, this is intended for in-vitro diagnostic use only.

Our platform is a distributed system using our Techcyte cloud, algorithms, genetic slide scanners, and Techcyte or third-party viewing software.

The Bacteriology Algorithm is CE marked in the EU. It is for research use only and not for diagnostic use within the US. The performance has not been validated within the US.

Challenge & Solution
Group Of Technicians Working In Laboratory

Challenge & Solution

Direct microscopic exams have several disadvantages, including technician fatigue, distraction, operator bias, difficult working conditions, and the cost and time it takes to perform the analyses via microscope.

With our bacteriology solution, labs can dramatically reduce the time and effort it takes to perform direct examination reads while obtaining greater inter- and intra-operator consistency and accuracy.

How it Works

How it works

Using a neural network, our algorithm identifies differentiating features and determines which combinations indicate a certain class. It specifies the most likely classification as well as a percentage of its confidence. This algorithm is deterministic, making the same classification every time it is shown the same image. It takes a predetermined section of an image from a scanner of a liquid-based anatomical sample and performs an image analysis of its contents. It chooses areas around the image and classifies them into classes.
Our technology works with any gram-stained slide, scanned in using an 40x lens with a 2x optical multiplier before it’s uploaded to our platform. Results are delivered in mere minutes once uploaded. Our algorithm has been validated and CE marked in the EU. It is for research use only and not for diagnostic use in the US.

  • The slide is prepared with a standard smear, then treated with a gram stain.

  • Slides are scanned in 1.5 minutes at 80x magnification

  • Our AI analyzes the slide in minutes, locating and identifying all objects of interest.

  • Results are presented to the lab tech for final review. This saves lab techs time, increases consistency and provides better working conditions.
bacteriology gram analysis cells up close


Your lab can define workflows that suit your organization’s particular needs. We also offer full reporting of both data and images through an easy-to-use API, which allows your laboratory information system (LIS) to seamlessly communicate with our software. 

You’ll also have access to our customizable report template.

The software is validated in the EU to find these organisms:

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


Reach your laboratory bacteriology department’s fullest potential with AI.

Decoration Icon check Reduced costs through decreased read time
Decoration Icon check Elimination of workflow bottlenecks in performing direct examinations
Decoration Icon check Improved inter- and intra-operator consistency in reporting and grading
Decoration Icon check Vastly improved working conditions for technicians
Decoration Icon check Improved traceability of results
scientists shaking hands


Techcyte partners with Hamamatsu, Motic, and Ketterhill Laboratories.