SagaBio is one of China’s leading innovators in protein microarrays and multiplex biological array technologies. Known for its high-throughput, multi-marker detection platforms, the company has built a complete ecosystem that spans protein chips, array fabrication systems, high-resolution scanners, and analytical software. With strong R&D capabilities in Shanghai and extensive collaborations across clinical and academic institutions, SagaBio is regarded as a key force in China’s life-science instrumentation landscape—and is rapidly aligning with international markets.

As array density increased and detection content became more complex, the volume and variability of raw imaging data grew exponentially. Traditional semi-manual workflows—scanning the chip and relying on partial human review—were no longer sufficient for research-grade, pre-clinical, or production-scale applications. For SagaBio, the scanner is only the “eye.” What truly determines whether data can enter clinical pipelines or manufacturing processes is the analysis terminal—the software that faces the customer and delivers quantitative signals and QC judgments.

In this core component of the workflow, we became an integral technology partner.

Transforming raw scans into quantitative, trusted biological data

We developed a full-scale, industry-grade analytical engine directly integrated with SagaBio’s scanners. This system performs every crucial step from image acquisition to final quantitative output, including:

1. Automated array localization and geometric correction

The system resolves high-density arrays, complex layouts, and non-standard chip deformations across batches, ensuring consistent and reproducible positioning under all conditions.

2. High-reliability spot detection and signal quantification

Using a fusion of computer-vision and statistical models—blob detection, contour fitting, mixture modeling, local background estimation—the system maintains accuracy under:

• weak or low-contrast signals

• heterogeneous background

• spot morphology variation

• manufacturing variability

This capability is essential for protein chips, where signal complexity far exceeds traditional ELISA and even small analytical errors can mislead scientific or clinical conclusions.

3. Production-level quality-control automation

Beyond recognition, the system performs automated QC, identifying:

• spot deformation or incomplete reactions

• satellite droplets and contamination

• batch-to-batch drift and geometric bias

• micro-defects and surface anomalies

• plate-level trends across manufacturing runs

These QC outcomes directly determine whether a chip can be released to customers and are central to SagaBio’s production quality.

The customer-facing analysis terminal: the true “product experience”

For researchers, hospitals, and pharmaceutical clients, their primary contact point is not the scanner or the chip itself—it is the analysis software. This terminal determines:

• how results are presented

• whether the data is trustworthy

• whether experiments can be reproduced

• whether the chip passes QC

• whether the results meet regulatory expectations (e.g., FDA / NMPA audit requirements)

Our system therefore functions not merely as an algorithmic tool, but as SagaBio’s front-end interpretation layer and core product experience.

Within SagaBio’s broader ecosystem, this software effectively serves as:

• the “brain” of the scanner

• the central interface for customers

• the final link that converts raw biological signals into scientific or clinical value