The efficiency and standardization of veterinary laboratory diagnostics increasingly depend on automation and digital workflows. Traditional microscopes often face challenges in digital integration due to bulky imaging modules, poor interface compatibility, or inadequate illumination, limiting system cohesion and image consistency. To address these challenges, this study explores the integration of a compact imaging module with a wide field of view and built-in illumination into a fully automated veterinary microscope system. This integration leverages the module’s small physical footprint and standardized signal output to seamlessly embed it within automated slide processing workflows, ensuring high image quality while simplifying system architecture. The resulting workflow—from sample preparation to digital image output—is optimized for speed, reliability, and accuracy, meeting the requirements of pathologists for rapid digital diagnostics.
Modern fully automated veterinary microscopes aim to complete sample preparation, staining, and digital imaging within minutes for blood smears or cytology specimens. This places stringent demands on imaging modules: they must be compact enough to fit within limited optical and mechanical spaces while providing sufficient image quality to clearly resolve cellular nuclei, chromatin, cytoplasmic granules, and other fine structures.
Conventional imaging solutions often use standalone industrial cameras, which are bulky, restrict installation options, and require additional illumination systems, increasing complexity and calibration challenges. Therefore, a compact, plug-and-play imaging module with integrated illumination is key to enhancing overall system performance and reliability.
The imaging module used in this study is designed for integration into constrained spaces. It features a 1/9-inch sensor and a probe diameter of just 3.3mm, allowing insertion into existing eyepiece tubes or dedicated imaging ports without major mechanical modifications. Despite its small size, the sensor combined with an optimized optical system delivers clear, high-detail digital images suitable for standard hematology and cytology observations.
The module provides a 102° ±5° field of view, wide enough to capture the area under low-power microscope objectives, reducing the need for multiple scans and improving slide scanning efficiency. The F4.0 aperture ensures sufficient depth of field, accommodating slight variations in sample thickness while maintaining sharp focus across multiple focal planes.
Six 0201 miniature LEDs are integrated around the lens, providing uniform, self-contained illumination without relying on external microscope light sources or complex Köhler lighting adjustments. LED brightness and color temperature can be adjusted via backend software to match different staining protocols, such as Wright or Giemsa stains, ensuring consistent color reproduction.
For signal transmission, the module uses a MIPI interface connected via a TYPE-C port to the microscope control system. The high bandwidth of MIPI supports real-time video streaming, ensuring smooth image capture during automated scanning. A 1000 ±10mm cable length provides sufficient routing flexibility within the microscope, and the Teflon-insulated cable ensures durability, flexibility, and long-term operational reliability.
Integrating this miniature imaging module into a fully automated veterinary microscope enhances digital workflow efficiency and consistency. The automated stage, focus mechanism, and sample transport system position the field of view precisely, while the integrated module acts as a “digital retina,” capturing high-resolution images instantly upon trigger and transmitting them via MIPI to pathology image processing software.
The wide field of view is particularly beneficial during low-power scans, significantly reducing total scan time. Built-in LED illumination eliminates dependency on external light source calibration, ensuring consistent brightness and color across instruments and over time—critical for computer-aided analysis and cross-device comparisons. The compact form factor also frees up internal space, allowing for more robust housing designs and improved human-machine interfaces, aligning with development goals for durability and usability.
From the user perspective, imaging parameters are managed by system software, enabling pathologists to simply select modes such as “hematology” or “cytology.” The system automatically adjusts exposure, white balance, and gain, ensuring images meet diagnostic requirements. Plug-and-play functionality reduces production and maintenance complexity.
This study demonstrates that integrating a miniature, self-illuminated high-definition imaging module into fully automated veterinary microscopes is an effective approach to enhance system integration and image consistency. The solution overcomes the limitations of bulky traditional digital modules and external lighting requirements while providing stable image output that forms a solid foundation for advanced analyses, such as automatic cell recognition and nucleated cell classification.
This integration exemplifies the trend toward miniaturized, integrated, and standardized imaging technologies in medical diagnostic devices, directly supporting higher levels of automation and digitalization in veterinary pathology laboratories. With future improvements in sensor resolution and computational algorithms, such miniature modules are expected to play a central role in bedside diagnostics and field-based veterinary testing.
