We have gained some experience in terms of how to closely connect each team, achieve real-time information sharing, and improve project efficiency.

Document sharing: We have established an exclusive shared literature library for our project using the Tencent Documents, an instant sharing platform. This library allows us to collect, organize, and categorize the documents referenced by each team member. By doing so, we have significantly improved the efficiency of information sharing and collaboration among different groups involved in our project.

Progress Sharing: Utilizing the Tencent document platform, we have established a "Wet Lab Daily" where daily planning, experimental processes, data, problem analysis, and reflective summaries are meticulously recorded, providing a clear and structured framework. This system streamlines subsequent data processing and summarization and facilitates seamless information exchange among wet lab researchers across different shifts.

Resource Sharing: On the Tencent document platform, we have established a resource sharing repository where the precise locations of experimental materials are clearly indicated. This not only saves time in material acquisition and communication handover but also contributes to reducing safety risks and experimental failure rates caused by the inadvertent use of the wrong materials.

Method Sharing: On the Tencent document platform, we have created a standard method repository where detailed steps of standardized procedures with high repeatability during the experiment process are elaborated. This not only helps prevent experimental data errors resulting from the uncertainty of methods used by different personnel in the same experiment but also further reduces the time spent on communicating and handing over experimental procedures, thus effectively advancing the progress of the project.

Information Sharing: Since the start of the project, we have consistently held a weekly team meeting, which involves all project advisors and team members. During the two-and-a-half-hour session, each subgroup presents progress reports and discusses plans for the following week. This practice helps break down communication barriers between different groups and ensures that all project members have a good understanding of the overall project progress, facilitating better project management.

In order to further assess the aspects of the product that stakeholders value throughout the product development, production, sales, and usage processes and determine the order of optimization for our project, we established an evaluation system of indicators using the Analytic Hierarchy Process (AHP).

Analytic hierarchy process (AHP) is defined as follows. Before we analyze a phenomenon or problem, we decompose it into related factors according to their properties, and classify them according to their relationship to form a multi-level structural model. After that, through experience or comprehensive stakeholders’ opinions, the relative importance of low-level factors to high-level factors is judged and measured. The weighted ranking is obtained according to the degree of importance, and finally, the quantitative analysis and comparison can be made. The core of the hierarchical analysis method is to stratify and datalize the influencing factors, which decomposes an abstract phenomenon or problem from difficult to easy, and makes it easy to make intuitive judgments on complex problems and make decisions. AHP has the advantages of simplifying complex problems and simple calculations. We decided to use this method to establish our evaluation system of indicators.

Our evaluation system consists of target layer, system layer and indicator layer. At the target level, the overall target should be defined at the beginning. At the systemic level, various factors that could potentially influence stakeholders' perceptions of the product were identified as criteria. At the indicator level, specific measurable aspects were defined for each criterion. For indicators within the same level, pairwise comparisons were made using the criteria from the higher level, resulting in the construction of pairwise comparison judgment matrices. Consistency tests were performed to ensure the reliability of these comparisons. Subsequently, indicator weights were determined. Using the weights of all subordinate indicators within the same level and the weights of all criteria from the higher level, weighted calculations were conducted to derive the weights of all indicators at this level concerning their importance in relation to the highest level. Finally, a comprehensive weight was obtained, allowing us to prioritize and rank various requirements related to the project based on their weighted importance.

Based on our project, we considered the opinions of multiple stakeholders and constructed an evaluation system as shown below:

In relation to the various requirements associated with the project, we conduct comprehensive assessments from eight aspects: quality, safety, ethics, respect, public health, innovation, efficiency, and cost. Each system level is further subdivided into various evaluation indicators. We use this as our evaluation system to comprehensively assess the priorities of various indicators that need to be considered, with the aim of scientifically and effectively optimizing our project to the maximum extent possible within the limited time frame.

According to the system-level analysis results, it is evident that quality is the most critical factor, accounting for 29.21% of the total weight and should be given the highest priority. Ethics, safety, public health, and efficiency follow in descending order of importance. Respect and innovation, on the other hand, have lower weights, each below 10%. Therefore, in the future development and sales processes, special attention should be paid to the quality of the product to ensure the accuracy and precision of the testing results, providing consumers with reliable outcomes. While ensuring quality, medical ethics should also be considered, appropriate sampling methods chosen, and consumers' privacy data protected. Additionally, there is a need to further enhance product safety and testing efficiency.

According to this approach, for details on how we specifically carried out our work, please refer to our IHP page. We genuinely hope that our analytical method can serve as a reference for those who will be involved in testing or related fields in the future. This can help them pinpoint the most crucial factors during project development. By focusing their efforts more precisely, they can ensure responsibility to users, society, the environment, and other aspects.

Our goal is to enable as many people as possible to easily use our tool to excite and capture fluorescence signals in a home or community setting. In the early stages of the project, we conducted research and found that conducting immunofluorescence diagnostics in large hospitals requires significant expenses, and the detection devices were often large and cumbersome. We aimed to change this situation.

After brainstorming, we came up with the idea that a smartphone serves as an excellent light receptor, and the only thing needed was an external hardware device. Consequently, we designed and manufactured the LightCapter using 3D printing technology. This device features a relatively enclosed structure, a simple optical path, and a phone holder, enabling us to easily capture fluorescence images of varying intensities, making fluorescence detection in a home environment possible.

To ensure that anyone can build and use our device, we provide detailed design and construction instructions. You can find links to these instructions on the hardware page.

In our project, we aim to develop protein cages formed by the self-assembly of 60 Mi3 subunits into a universal detection tool. This would be used for the rapid detection of various disease biomarkers, inflammatory factors, or environmental pollutants. Hence, we created the composite part BBa_K4766009 , which expresses both Mi3 and SpyCatcher, enabling the capture of proteins labeled with SpyTag. Additionally, we formed the composite part BBa_K4766011 , which co-expresses Streptavidin and SpyTag. This takes advantage of the interaction between Streptavidin and biotin to link antibodies to the Mi3 protein cage. We also introduced the composite part BBa_K4766010 , co-expressing the fluorescent protein eGFP and SpyTag, allowing eGFP to act as a signaling molecule attached to the Mi3 protein cage, thus amplifying the signal from antigen-antibody binding. The construction of these parts is explained on the Experiments page while the parts can be found on the Parts page.

We hope that our documentation will help future teams use these parts, in the way that they want.