Our hardware is an open source hardware solution for pre-cancer detection in non-laboratory environments, such as community hospitals. Engineering bacteria’s cultivation and detection were integrated in one machine, low cost and convenient operation make it has good potential for promotion, which solves the problem that current market lack of such kind of detecting instrument. The process of cultivation and detection and data analysis are all automatically, and the results will present to the user by sending to the user mobile phone through the Bluetooth or showing on the screen, so that users can easily access test results, which is highly readable. This device is developed based on Raspberry Pi3 open-source platform, which offers high scalability, and most of components are mainstream and easy purchasing on market. All the source code and design drawings are available for developers in our wiki. Besides, our hardware also can be widely used in parts verification and biosensor detection systems.

Pre-disease detection based on our engineering bacteria, targeted at community hospitals and home, has its advantage. But detecting disease in biological methods requires some special instrument. For detecting fluorescent proteins, prevailing way is using ELISA instrument or similar device to measure the fluorescence intensity of the samples, then calculate fluorescent protein concentration. In addition to ELISA instrument, there are some there device like Quantitative Real-time PCR or immunofluorescence detector can also able to detect fluorescent protein. But all the instrument above are too expensive for large-area promotion, and are not specially design for disease detection, which limits the use of these instruments.

Firstly, the raspberry-pi can get the value of fluorescence(also some other values). Then it will send these data to the application through the Bluetooth serial port. After that the application will make analysis. Finally, it will show intuitive data with several graphs and charts. In addition, users can get their sports data such as the distance they have walked and physiology such us heart rate as well. What will impress the users is the user interface. We will make a professional, friendly and avant-garde UI to give users a fantastic using experience.

Our device is designed for cultivating and detecting simples on standard 96-well plate. For offering the appropriate environment of bacterial growth, a constant temperature environment must be established inside our device. Meanwhile, in order to provide an accurately quantitative detection of disease markers, cultivation time must be control. Both the temperature and cultivation time can be set by users through the interface of our hardware. We also provide default setting for specific engineering bacteria so users can start the process conveniently. The setting information will be sent to Arduino, the lower microcontroller, for temperature control. In temperature control part, we use DS18B20 as temperature sensor and heating coil as heat source, together they constitute a closed loop multi-point temperature measurement and control system. Besides, fan and air circulation path also integrated inside our instrument, ensuring temperature consistency. In order to guarantee temperature stability and heating efficiency, we use mainstream PID temperature control algorithm for temperature control. after temperature reach its target, Raspberry Pi will start to calculate the incubation time in background. Once reach the pre-set time, our device will move on to detection part.

For the health part, we use Android API to access the health application. We can drive the data we want, then the application can make these to a graph or a chart. Because many applications such as WeChat, Whatapps, Facebook etc. can access the data in health, this part is feasible.

A appealing user interface has a great attraction to customers. This application will use some superb UI segments with professional layout. The main color and shape of UI will fit in our other design such as Wiki, handout, poster. We will apply some special effect, gestures to catch up with the user interface in iOS system.

1. Welcome Page

When we start the application for the first time, we can see these four welcome pages and they will show us the specialty and function of the software.

2. Login page

After each start, there will be a login page. For old users, they will input their name and password. For new users, they will register a new account. If we forget our password, don't worry, we can find it by answering the two questions we set in the registration.

3. Detection page

As the figure below, the application will first judge if the mobile phone is connected to Bluetooth and if it is paired with other devices. If not, then we will be reminded on the screen. After paring with others, the application can communicate with the paired devices, which means it can send or receive data. The data it received will show on the screen. We can cancel the connection by clicking the button.

4. UI design

Detection module: We use the vertical layout mode. In the above, we can see the basic information of the person, the organ in the graph is matched to the disease. The probability of having the disease is in below. Click the macro scope we can see the full report, which will tell you the result in detail, as well as the comparison to standard result. Click the download button we can save the result to local. By the way, doctors can use the report as reference.

Doctor module: We use the vertical layout. Through the filter above, we can get the doctor we want. Click the button, more information will show us. We can make online consultation with him.

Discover module: This part tries to popularize some general knowledge written by famous scientists or doctors in medicine to users.. We can make comment or like the article in below.

Personal module: It contains all information about ourselves such medical history, all earlier result, comment, settings etc.

5 Core codes

About the product: This software is designed for community medical institute and family. Users use this application along with the detector can get the result convieniently. Unfortunately, the doctor module is an ideal module. Because the background of the medical system, that part cannot be used in daily life immediately. But we believe that mobile medical is a trend in the future. This module can be used sooner or later.

About costumer: We designed a very friendly user interface, simple but doesn't lack of fashion. Users will have a comfortable using experience. Through a small scale test, this application got good evaluations.

'This software has a avant-garde style and full of science. The layout of the detection module is really creative. I love it very much.' --- A student in School of Information and Electronics

'The discover module is a brilliant point, for users can learn some basic knowledge while making self-detection. I think this application is also a precaution software. I will recommend this to my family.' --- A student in School of Life and Science

'Under the current background, this application can show us the future. Mobile health will be a vital treatment in few years. I am very proud that they can make a fantastic software like this.' --- A student in Life and Science

About Apps store: This application still needs to be modified. We believe that we can download it in the apps store in the future.