Until now.

The microscope has evolved for centuries, but the need
for experts to make diagnoses has remained constant.

1595

1670

1882

1998

2017

The Landing Cyto System makes cancer
screening and diagnosis possible in medically
underserved areas by combining:

Automation

Intelligence

Standardization

INTELLIGENCE

The system classifies each cell and diagnoses it as
negative or positive for cancer based on the amount
of DNA content contained in its nucleus.

THE PRINCIPLE

A normal cell contains 2 sets of chromosomes (2C).

During replication, it contains 4 sets of chromosomes (4C).

DNA content of >5C indicates abnormal replication, i.e. cancer.

2C → 4C

2C → 4C

2C → 4C

2C

2C

>5C (cancer)

2C

STANDARDIZATION

Because diagnoses are made automatically and quantitatively, results are objective and standardized.

Automated, quantitative diagnosis

Optional morphological review

Automation, intelligence, and standardization combine to make the Landing Cyto System unique in its suitability for use in cancer screening programs for populations that lack qualified cytopathologists.

Automated Scanning

The system divides each slide into 1,080 fields of view and scans the entire slide within minutes. Two images of every field of view are recorded. One is for automated analysis by the system and the other is for optional, manual inspection of morphology by a cytopathologist.

Standardized Results

Because diagnoses are automated, they are objective and free from human error which is a major factor in the high rates of misdiagnoses associated with traditional cytology methods. Even with other automated systems on the market today, potentially cancerous cells are only highlighted; the final diagnosis is still made by a cytopathologist. Landing Qomo’s system facilitates such manual review but does not rely on it. As a result, it is highly standardized and introduces an unprecedented level of quality control to the field of cytodiagnostics.

Dual Diagnoses

Whenever a cytopathologist wishes to review the system’s diagnosis, he or she can do so by either analyzing the morphological image of any field of view or viewing the slide directly under the microscope. The system has an automated repositioning feature that will accurately locate any areas of interest on the slide. This combination of automated and expert diagnoses achieves unparalleled accuracy.

Documents

General Brochure (926 KB)
Technical Brochure (983 KB)
Folleto en Español (910 KB)