Team:BHSF ND/Measurement
2019 IGEM BHSF_NDMeasurement--Special Prize
(1)Measurement needs to be highly repetitive. To achieve this goal, we have done at least three experimental groups and control groups in each set of experiments. At the same time, to achieve better data and experimental results, we have at least two options for each original block.
For example, to achieve the desired experimental values, we did several experimental groups and used flow cytometry, microplate readers, and other equipment to assist in our data measurement. Use our modeling to help us analyze and validate the feasibility and scientificity of the data.
(2)Measurement needs to be highly accurate. In order to achieve this goal, we have made a careful division of each value to be measured. At the same time, we realized that our high school measurement equipment could not be accurate enough. We worked with Peking University and Bluepha to rent their more sophisticated and accurate flow cytometers and microplate readers to measure us. The value.
For example, the improvement of our recombinase is measured by Peking University's latest flow cytometer. We also measured the concentration gradients of the three recombinanses simultaneously.
(3)To ensure the scientificity of the experiment and measurement, we received systematic training of the biology teacher at the school, and at the same time, we learned and optimized our experimental operation through the reading of the protocol of the excellent iGEM project. We do not improve our testing and measurement methods during our experiments and strengthen our operational proficiency and precision to achieve even higher levels of operation for graduate students. At the same time, we communicated with Peking University's iGEM team and wrote a protocol together. We strictly enforce our protocol and do a detailed record and summary of experimental data. Protocols and notebooks can be found on our page in this section.
(4)We effectively use modeling to aid our measurements, as detailed in the modeling page. We use the model to estimate the measured values and range before the measurement. After the measurement, we will use modeling to analyze the difference between the actual measured values and the theoretical values. We use our combination of modeling and experimental measurements to verify the validity and standard of our measurements.
(5)We use our hardware to assist our measurements, see the hardware page for details. Our self-designed hardware efficiently measures green fluorescence intensity anywhere, anytime, and transmits its data to our computers via Bluetooth. This hardware is designed to take advantage of the characteristics of light scattering, bio-fluorescence, and black absorption of light waves combined with computer modeling and electronic circuit design to achieve a high level of accuracy and speed. To better analyze optical data, we discussed our advisor Deyu Zhang on hardware microprocessor and python modeling. After repeated iterations and upgrades to the factory, our hardware finally achieved good accuracy and stability. .
