Successful testing begins with adequate preparation. First, prepare representative samples, including routine specimens and challenging special samples. For instance, in biomedical fields, prepare cell smears and tissue sections; in materials science, prepare metal samples and semiconductor devices. Next, define testing standards and evaluation metrics, creating detailed test forms covering key parameters like resolution, contrast, and stability. Finally, ensure the testing environment meets requirements, including temperature, humidity, and vibration isolation conditions.

Image quality assessment should consider multiple dimensions. Conduct resolution tests using standard resolution targets, observing the smallest distinguishable line pairs; evaluate contrast by examining image gradation with different samples; assess color reproduction through color fidelity of stained specimens. Operational experience is equally important: verify autofocus accuracy and speed, stage movement smoothness, and software interface usability through practical testing. Pay special attention to comfort during prolonged use, including eyepiece adjustment range and ergonomic operation posture.

Equipment stability directly impacts subsequent usage effectiveness. We recommend conducting continuous 4-8 hour endurance tests to observe whether the system experiences overheating or performance degradation. Repeated power cycle tests can verify system startup stability and repeat positioning accuracy. For motorized components, perform at least 100 repetitive motion tests and record failure rates. While time-consuming, these tests effectively identify potential issues in future usage.

Detailed test records are crucial. We recommend adopting a "quantitative + qualitative" recording approach: document specific measurement data such as resolution values and focus time, while also recording subjective user experiences like operational convenience and visual effects. Ideally, preserve typical image samples during testing to establish comparison archives. Simultaneously, pay special attention to recording test conditions, including environmental parameters and sample status, to ensure data reproducibility.