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Real-time tracking of biological signals has long been a core challenge in life science research. Traditional ex vivo detection methods rely on dissection and sampling of experimental subjects, which only acquire static data at discrete time points. Unable to continuously monitor the dynamic changes of biomarkers within living organisms, these conventional approaches easily miss critical temporal information, showing prominent limitations especially inin vivo animal tracing and phenotypic observation of living plants. To address this industry pain point, we launch the dedicated In-Vivo Imaging Solution. Covering both animal and plant living research scenarios, it builds an integrated non-invasive imaging system, enabling researchers to perform visualized acquisition and long-term dynamic monitoring of biological signals under intact living conditions.
This solution integrates multi-band optical imaging hardware and professional image acquisition & analysis software, fully meeting the demands of small-animal fluorescence and bioluminescence imaging, as well as phenotypic and photosynthetic signal observation for living plants. Adopting a low-damage optical excitation design, the system minimizes light interference with the physiological state of living samples and supports long-term continuous imaging. It enables precise tracking of the migration, proliferation and regression of marker genes, tumor lesions and infection sites in living bodies over time. For plant samples, it can collect phenotypic data such as growth morphology and stress responses without damaging plant structures, providing quantitative evidence for plant stress-resistance breeding and developmental biology research. Featuring a streamlined workflow, the solution forms a full closed-loop process from sample placement and parameter configuration to automatic image acquisition and batch data export, effectively lowering operational barriers for researchers.
The solution delivers extensive application value in drug development, tumor biology, pathogenic microbiology, plant genetics and breeding, and other research fields. In anti-tumor drug screening, researchers can continuously observe tumor volume changes and drug responses in the same animal model without sacrificing experimental animals in batches, which significantly reduces animal usage and improves data continuity. In plant research, it enables persistent monitoring of plant physiological changes under drought and salt stress conditions and captures transient stress signals. Compared with traditional endpoint detection methods, in-vivo imaging technology transforms the research paradigm from discrete endpoint sampling to whole-process dynamic observation.
Equipped with a comprehensive data analysis module, the solution supports signal intensity quantification, ROI (Region of Interest) analysis and time-series image stitching, and automatically generates standardized reports to facilitate academic sorting and paper publication. The hardware can be flexibly configured according to laboratory requirements, adapting to basic scientific research platforms, key laboratories, pharmaceutical R&D enterprises and other application scenarios. Moving forward, we will continuously optimize multi-modal imaging capabilities and expand the function of synchronous multi-index detection. Committed to providing stable and reliable visualization tools for animal and plant in-vivo research, we help advance life science exploration from static section observation to dynamic in-vivo analysis.