From Imaging to Reports: CIQTEK Launches SEM Agent
What if you could simply tell your SEM what you need, then let it handle the repetitive work? CIQTEK has launched SEM Agent, an AI-assisted platform designed to connect SEM imaging, analysis, and reporting in one workflow. Users can describe a task by text or voice, and the system can call more than 40 tools to carry out steps from area selection and image acquisition to data analysis and report generation. The idea is simple: reduce the time spent adjusting settings, searching for areas of interest, moving data between software, and organizing reports, while keeping the researcher in control of the final scientific judgment. Figure 1. CIQTEK SEM Agent Unveiled at the 2026 Electron Microscopy Conference Why SEM Workflows Need More Than Better Hardware A powerful microscope does not automatically mean a more efficient workflow. In everyday SEM work, researchers may still spend a large amount of time adjusting parameters, locating samples, organizing images, moving results between different software tools, and preparing reports. Many successful methods also remain tied to individual experience. When a new sample or task appears, the workflow often has to be rebuilt or adjusted manually. SEM Agent is designed to connect the microscope, analysis tools, and workflow knowledge around the task the user actually wants to complete. One Request, One Connected SEM Workflow Instead of operating each step separately, users can describe the task they want to complete. For example, a user can ask SEM Agent to image a lithium iron phosphate sample from 2,000× to 100,000× magnification, organize the images, analyze the results, and prepare a sample report. The system can then check microscope status and imaging conditions, adjust brightness, focus and stigmation, switch between magnifications, collect images, evaluate image quality, analyze sample features, save the results, and organize them into a report. Figure 2. Automated Multi-Magnification Imaging of a Lithium Iron Phosphate Sample Large-area acquisition is another typical task. In one chip demonstration, SEM Agent collected 70 fields of view in a 7 × 10 grid at 1,000× magnification and stitched the images into a larger overview. Each local image remained traceable to its original position. This helps reduce repetitive stage movement and the time normally spent sorting and organizing images after acquisition. Figure 3. Large-Area Automated Acquisition and Image Stitching Image Analysis Built Around the Sample SEM Agent is not limited to image acquisition. Users can also describe what they want to measure or identify, and the system can organize the corresponding analysis workflow. Current applications include particle size analysis, diamond wire measurement, nickel layer inspection, and defect analysis. Depending on the task, the workflow can include segmentation, measurement, statistics, and visualization. The goal is to reduce repetitive manual tracing, counting, and result organi...
November 02, 2026