Research On Appearance Design Of Multidimensional Super-resolution Imager Based On Scene Reduction Analysis

With the continuous integration of medical imaging technology and photoacoustic technology,the continuous advancement of artificial intelligence technology has improved the accuracy of photoacoustic imaging data and the rationality of clinical trials.The upgrading of life science and basic medical related equipment has greatly improved the detection efficiency.And accuracy.Super-resolution imaging technology is helping doctors and researchers continue to break through and innovate in the face of medical challenges.Super-resolution imaging is an innovative way for doctors and researchers to observe a variety of vital data,and multidimensional super-resolution imaging instruments are the vehicle for observers to use this technology.In the design process of the super-resolution imager,the designer needs to consider how to make the user recall the past scene when using the product in a specific scene,and meet the cognitive habits,taking into account the ergonomics and ensuring the safety of the use process.Comfortable,pleasant,efficient,and minimize the probability of misoperation,these are the research areas of scene reduction analysis.In this paper,the scene reduction analysis theory is used to analyze the usage scenarios of the multi-dimensional super-resolution imager and the behaviors in the specific scene,and the design scheme of the appearance of the super-resolution imager with expandable meaning is proposed.Firstly,the field of multi-dimensional super-resolution imager is investigated in the field,and the current practical problems are recorded.Secondly,based on the scene reduction analysis method,the user scene of the super-resolution imager product is studied in detail,including various restorations.The scenario analyzes the characteristics,needs and goals of the user in a specific scenario,understands the user's thinking patterns and behavior patterns,and uses the scene AFBS model analysis method combined with perceptual engineering and related disciplines such as cognitive psychology to analyze the user's scene memory.And construct the user model;then use the semantic difference method to obtain the inductive elements,based on the established user behavior model,perceptual image,structural target,draw three sets of design schemes for the appearance of the super-resolution imager;then use the eye tracking experiment The design evaluation of the three sets of super-resolution imager design was carried out,andaccording to the evaluation results,the optimal visual recognition feature scheme was selected to ensure the feasibility and ease of use of the scheme in the actual operation scenario.Finally,the inductive design elements and modeling design features of the user-oriented super-resolution imager products are extracted,and the extension and extension are used as the basis to provide methodological guidance for the design of the basic life science instruments in the future.