In contemporary pathological diagnosis processes, automatic staining machines have gradually replaced manual operations and become the core equipment. According to the research data from the 2024 Journal of Clinical Pathology, 85% of the pathology departments in top-tier hospitals worldwide have adopted automatic staining technology. The efficiency of HE (hematoxylin-eosin) staining has been increased to an average of 120 sections per hour, which is 400% faster than manual operation. This technological breakthrough significantly reduces the rate of human error. The College of American Pathologists (CAP) reports that automatic staining has compressed the incidence of staining inconsistency from 9.2% in manual operation to 1.7%, while reducing the sample re-staining rate by 68%. Take Peking Union Medical College Hospital as an example. After introducing 12 fully automatic staining machines, the average daily section processing capacity jumped from 800 cases to 2,200 cases, and the manpower input in the staining unit was reduced by 6 people.
From the perspective of economic benefits, the input-output ratio of the automatic dyeing machine has a prominent advantage. Take the Roche VENTANA BenchMark series as an example. The purchase cost of a single device is approximately 280,000 yuan. However, due to its dye consumption being 22% lower than manual operation and supporting 7× 24-hour continuous operation, most medical institutions can recover the cost within 18 to 24 months after it is put into use. The 2025 annual report of the National Health Service (NHS) in the UK disclosed that its affiliated pathology laboratories reduced their annual operating costs by 3.1 million pounds by deploying 32 sets of automatic staining systems, with an overall return on investment of 214%. It is particularly worth noting that such equipment has raised the standardization level of special dyeing (such as Masson three-color dyeing) to a protocol compliance rate of 98.5%.
In the dimension of quality control, automatic stainer achieves high repeatability of dyeing results by precisely controlling the dyeing time (with an error of ±2 seconds), temperature (37℃±0.3℃), and dyeing solution concentration (coefficient of variation <3%). The “Standardized Guidelines for Cancer Diagnosis” released by the World Health Organization (WHO) in 2024 emphasizes that automatic immunohistochemical staining has reduced the false negative rate of HER2 detection from 14.6% in manual operation to 5.1%, and improved the consistency of Ki-67 index interpretation to a κ value of 0.92 (only 0.75 in manual operation). A follow-up study of 180,000 samples by the Pathology Center of BGI in Shenzhen confirmed that after adopting the Leica BOND-III system, the re-examination rate due to staining quality issues decreased from 13.7% to 2.4%, saving 37 hours of review time for pathologists per 1,000 samples.
The promotion of the standardization system construction is more profound. The automatic staining machine ensures that the standard deviation (SD) of staining quality among different laboratories is controlled within 0.4 by presetting over 200 staining programs (such as PAS staining requiring an oxidation time of 15 minutes and Schiff reagent reaction for 10 minutes) (the SD value for manual operation reaches 2.1). Data from the 2023 EU EQAP Quality assessment project shows that among 78 laboratories using the same brand of automatic staining equipment, the positive coincidence rate of PD-L1(22C3) staining reached 96.3%, far exceeding the 82.7% of manual operation. When equipped with the automatic stainer with barcode recognition function, the sample traceability efficiency was enhanced to process 60 slides of information per minute. With this, Ruijin Hospital in Shanghai achieved a breakthrough record of an annual pathological error rate of 6 per million.
Continuous innovation and expansion have made the functions of the equipment increasingly diverse. The latest generation of staining systems, such as the Thermo Scientific Prisma platform, can integrate special staining, immunohistochemistry and in situ hybridization processes, reducing the multi-staining turnover cycle from the traditional 72 hours to 24 hours, and can automatically perform the post-HE staining sealing process (up to 300 pieces per hour). In addition, the remote quality control function can monitor in real time the consumption of dyeing solution, the load status of the equipment (with a peak processing capacity of 280 pieces per batch), and the probability of failure (with an average annual downtime of less than 8 hours). It is worth noting that the Mayo Clinic in the United States has upgraded the dyeing waste gas treatment module, reducing the formaldehyde emission from 12mg/m³ to 0.8mg/m³, which is far below the 0.75ppm threshold of the OSHA standard.
From the perspective of global development trends, automatic staining technology has become the infrastructure of modern pathology laboratories. According to Frost & Sullivan’s prediction, by 2028, the penetration rate of this device in the pathological automation market will exceed 91%. When combined with an artificial intelligence diagnostic system, it can help medical institutions reduce the average time for issuing pathological reports to 8.5 hours (the traditional process takes 34 hours), and at the same time increase the diagnostic efficiency of pathologists per unit time by 220%. These transformative values are driving pathological diagnosis into an intelligent era of high precision, high efficiency and high standards.