Peking Union Medical College Hospital Licenses Novel Pathology Labeling Technology for RMB 50,000 to Beijing Xinqicheng Technology Co., Ltd.

Recently, Peking Union Medical College Hospital released a public notice on the transformation of scientific and technological achievements, proposing to"A Type of Pathology Label"The patented technology has been successfully transferred to Beijing Xinqicheng Technology Co., Ltd. through the assignment of patent rights, with a transfer amount ofRMB 50,000。

This patented technology was jointly developed by Xue Xiaowei from the Department of Pathology at Peking Union Medical College Hospital and his clinical research team.

The team has long been deeply engaged in the field of pathological diagnosis and technical applications, accumulating extensive clinical practical experience and technological innovations in pathological specimen processing, labeling, and information management. The technology being transferred, “A Type of Pathology Label,” aims to enhance the standardization and traceability efficiency of pathological specimen management, demonstrating strong clinical applicability and potential for commercialization.

Transferee of the Patent TechnologyBeijing Xinqicheng Technology Co., Ltd., is a company dedicated to the research and development of medical technology products and technical services. The company has established a business presence in the fields of medical devices, healthcare informatization, and related technical services, committed to supporting the optimization and innovation of clinical medical processes through technology transfer.

This technology isAn Intelligent Labeling System for Pathology Sample Management, which can securely affix labels to pathological specimens via clamping or adsorption, and utilize built-in RF alarm components for real-time monitoring to prevent specimen loss or accidental disposal, thereby enhancing the traceability and safety management of pathological specimens.

In the daily work of the pathology department,Accurate Numbering of Tissue Specimensis the fundamental step to ensure the traceability of the diagnostic process. Currently, the standard practice isUse cardstock or labels with printable informationto carry the pathology number.

These labels need to be affixed either directly onto the pathology specimens themselves or onto the surfaces of their containers. However, when multiple pathology specimens are arranged sequentially on a workbench or placed in densely packed storage racks, the specimens or containers often obstruct one another, making side-affixed labels difficult to view directly.

This obstruction creates a practical operational challenge: medical personnel cannot quickly and intuitively locate the corresponding pathology number when they need to re-examine, retrieve additional samples, or clean up specific specimens.

They often need to move or pick up multiple samples to locate the target, a process that is inefficient and carries the risk of mistakenly handling or interfering with other samples during operation.

Therefore, existing labeling systems exhibit significant drawbacks in scenarios with densely packed specimens, including inconvenient traceability and low search efficiency.

In response to the practical challenges in clinical practice, where labels are easily obscured and sample traceability is inefficient, this patent designs a novel pathology labeling system. This solution not only fundamentally transforms the spatial association between labels and sample containers but also brings multiple breakthrough advantages to pathology sample management through its integrated and intelligent design.

The pathological label system designed in this patent demonstrates significant advantages and advanced features across multiple levels.First, it innovatively adopts a detachable structure consisting of a “label frame–connector–fixing clip.”

The label frame is designed to hold paper slips or printed labels bearing pathology identification numbers, while the fixing clip is securely attached to the pathology specimen container via elastic clamping, suction cup adhesion, or adhesive bonding. The two components are connected by a radially flexible joint.

This design spatially separates the information display unit (label holder) from the sample fixation unit (clamp), fundamentally resolving the pain point of traditional labels, which are prone to being obscured by adjacent samples due to direct adhesion to the container sides. Medical personnel can directly view the label information suspended above the containers without needing to move densely packed sample bottles or bags, thereby achieving rapid, non-disruptive visual traceability.

Secondly, the label introduces an active anti-loss management feature.Dedicated mounting holes are provided within the label housing, which also integrates an RF alarm component. The system operates by deploying RF monitoring base stations at key locations—such as laboratory entrances/exits and medical waste disposal points—to form a surveillance network with the RF elements embedded in the labels.

When labels attached to critical pathological specimens are inadvertently removed from authorized areas or disposed of as waste, the radio frequency signal triggers audible and visual alarms on monitoring devices, immediately alerting staff and effectively preventing diagnostic interruptions or medical incidents caused by accidental specimen loss. This integration of physical identification with electronic monitoring enhances the security level of pathological specimen management.

In terms of fixation method, this design demonstrates a high degree of adaptability and reliability.The fixing clip can not only directly clamp the container edge or bag body through its elastic clamping part, but also add medical silicone suction cups on the inner or outer side of the clamping part. The suction cup expels air when pressed to form negative pressure, which can generate additional adsorption force, allowing the label to remain stable even on smooth container surfaces.

For irregularly curved surfaces or containers that are not suitable for clamping, the outer side of the fixing clip is equipped with a thick elastic adhesive layer, which can be firmly attached after removing the protective film. This multi-mode fixation mechanism ensures that labels are compatible with pathological sample containers of various materials and shapes.

Furthermore, the connector adopts a structure similar to a universal hose, consisting of multiple joint rings connected in series that can rotate relative to one another.

This structure allows users to freely bend and shape the connector in three-dimensional space, thereby flexibly adjusting the hover position, angle, and height of the label frame. A key design detail is thatThe operating force required for the adjustment connector is set to be greater than the gravitational force of the label frame itself.

This means that once the label holder is adjusted to an ideal, easily observable angle, it will not sag or shift due to its own weight, maintaining a neat and uniform display posture over the long term. This further optimizes the efficiency of visual identification and enhances the tidiness of the department.

Finally, the combined design of the label holder and transparent pressure plate balances information protection with easy replacement.The pressure plate can be opened or closed like a picture frame, securing paper labels underneath. Its transparent material ensures clear visibility of information while protecting the labels from liquid contamination and physical wear.

When information needs to be updated, the pressure plate can be easily opened to replace the label, making the operation extremely simple.

In summary, this patented technology systematically addresses challenges such as the difficulty in tracing pathological samples, their susceptibility to loss, and unreliable label fixation, through an ingenious mechanical structural design, integrated electronic monitoring, and a multi-mode fixation scheme. It significantly enhances the operational efficiency and management safety of pathology departments, demonstrating strong practicality and innovation.

In response to the broader demands for informatization and process optimization in pathology departments, enterprises and research teams both domestically and internationally are continuously exploring solutions with higher levels of integration and deeper intelligence.

Kuoran BiotechAchieved multidimensional results in the overall Next-Generation Pathology (NGP) solution:

At the core technology level,its mastery ofMultiplex Fluorescence Immunohistochemistry(mIHC) enables multiplex marker staining on a single FFPE tissue section and parallel detection of cells across multiple biological tissue samples, providing comprehensive and precise information for tumor microenvironment research. This supports precision cancer diagnosis and the formulation of treatment plans. The accompanying immunohistochemistry kit supplies the multicolor fluorescent dyes, reaction buffers, and HRP-labeled secondary antibodies required for TSA staining. It is compatible with primary antibodies from different brands, supports flexible combinations of 3–9 markers, and its detection consistency and reliability have been validated in multicenter clinical studies.

At the level of instruments and equipment,Its launchedKRMED’s Full Series of Intelligent Scanning Systems Utilizes Multispectral Unmixing Technology, enabling fully automated quantitative pathological imaging of 9 markers on a single tissue section. It features unattended, high-throughput, ultra-high-speed scanning and imaging capabilities. Additionally, equipment has been developed to automate immunohistochemistry (IHC) and multiplex fluorescent immunohistochemistry (mIHC) experiments, allowing one-touch completion of the entire process from slide baking, deparaffinization, and antigen retrieval to counterstaining, ensuring standardized workflows and precise sample loading.

At the AI analysis level,its independently developedKRpath™ Fully Automated AI Pathology Image Analysis SystemLeveraging adaptive deep learning (AI+) algorithms, it enables functions such as image annotation, tissue typing, cell recognition, phenotypic identification, and spatial analysis. Equipped with built-in automated report generation tools and multi-dimensional data visualization capabilities, it has been widely applied in various fields including histopathology, cell biology, and biomedicine.

KingMed Diagnostics, Tencent(A technology enterprise focused on AI technology R&D and its applications in the medical field) andThe First Affiliated Hospital of Guangzhou Medical UniversityLeveraging the DeepGEM large AI model, we are developing a multimodal large model for pathological genomics. This project enables the prediction of lung cancer gene mutations from routine histopathological images, completing predictions for multiple common driver gene mutations in lung cancer within one minute, with an accuracy ranging from 78% to 99%.

Technically, it employs multiple instance learning (MIL) and an “end-to-end” architecture that eliminates the need for manual annotation of tumor regions, enabling better capture of global information to enhance prediction accuracy. It is applicable to various sample types, including excisional biopsies and needle biopsies, and can generate spatial distribution maps of gene mutations to visually demonstrate their distribution within the tissue.

Currently, the three parties have formally signed an agreement to initiate joint development, with the project now in the stage of deepened development and advancement of clinical application. On one hand, this will further expand the scope of approved gene identification for lung cancer and enhance multimodal research, thereby promoting the clinical application of the DeepGEM large model in predicting lung cancer gene mutations.

On the other hand, we will expand the validation of the model’s capabilities across other cancer types and develop a multimodal large pathology-genomics model that integrates histomorphology with proteomics, metabolomics, and other data, ultimately achieving generalized AI-assisted diagnosis across multiple anatomical sites, cancer types, and omics layers.

Looking ahead, the entire pathology industry is accelerating its evolution toward digitalization and intelligence. “Next-generation specimen digitization,” centered on whole-slide imaging and artificial intelligence (AI) analysis, is reshaping workflows. In this context, the hardware infrastructure that ensures the accurate and secure handling of physical specimens becomes particularly critical.