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title: "Uni-Lab-OS Laboratory Breakthrough Plan | To You Who Are Shaking Bottles and Running Columns in the Biochemistry, Environment, and Materials Laboratory at 3 AM"
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date: 2025-05-22
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categories:
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- DeePMD
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---
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At 3 AM in the laboratory, the hum of the centrifuge sounds like a countdown. You stare at the 42nd set of repeated experimental data, and the spring of the pipette makes a tired clicking sound — these hands that once solved the most difficult problems in the college entrance examination are now trapped in day-to-day mechanical operations.
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We have seen too many talents' inspiration worn away by repetitive labor: the girl who developed lower back pain from standing in front of the fume hood could have designed an intelligent temperature control algorithm for the reactor; the boy who was scolded by his supervisor for manual pipetting errors should have already written a program to automatically calibrate the pipette.
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AI has arrived, and the era of AI for Science (AI4S) is here. We are beginning to see a different future and witnessing the rise of automated and intelligent laboratories. However, compared to the 100,000 traditional biochemistry, environment, and materials laboratories, how many new laboratories can be built? Compared to the millions of graduate students in biochemistry, environment, and materials experiments, how many can obtain tickets to the intelligent era?
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We asked Bohrium Science Navigation:https://cn.bing.com/search?q=%23%E5%B0%8F%E7%A8%8B%E5%BA%8F%3A%2F%2F%E7%8E%BB%E5%B0%94Bohrium%2FKWamiuZ0nOfDwCr&cvid=0baa952d3bba4943a76dcb29d8d86206&aqs=edge..69i57.800j0j1&pglt=43&FORM=ANNTA1&PC=LCTS
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In April 2025, we launched the intelligent laboratory open-source operating system Uni-Lab-OS — this is not a cold collection of codes, but a "nerve center" that awakens experimental equipment — reactors begin to autonomously adjust parameters like old craftsmen, with temperature fluctuations reduced by 80% compared to manual control; pipetting workstations can autonomously learn your operation habits, and the laboratory at 3 AM finally no longer requires physical attendance...
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The open-source and open Uni-Lab-OS hopes to explore a different path — **the community route of AI4S. AI4S brings not just the rise of a few new laboratories, but an efficiency revolution for 100,000 traditional laboratories! It's not just the honor of a few academic stars, but the youth breakthrough for millions of graduate students in biochemistry, environment, and materials experiments!**
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Today, Uni-Lab-OS launches the Laboratory Breakthrough Plan — for students in biochemistry, environment, and materials laboratory research groups, we not only provide free intelligent laboratory transformation courses for everyone but also offer **¥10000~50000** in targeted support for each selected laboratory transformation plan, so that every scientific research dream has the opportunity to break through!
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Features of the Laboratory Breakthrough Plan:
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* **Scientific Research Crowd Innovation:** Guided by the real needs of research groups, encouraging the design of "leveraging small efforts to achieve great results" AI + hardware automation transformation plans.
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* **Growth Closed Loop:** From course learning → plan design → engineering implementation → result sharing, the whole process is equipped with an integrated "teaching - learning - research - application" platform.
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* **Inclusive Support:** From the prototype design of instruments and equipment to the overall improvement of research efficiency, each innovative plan is polished with targeted refinement, with the goal of achieving 50% automation of repetitive labor and forming an open AI knowledge base.
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This is not just a simple equipment update but a paradigm shift in scientific research thinking. We look forward to witnessing: when 100,000 beakers are equipped with AI wings, and when millions of data flow into intelligent trajectories, the spark of Chinese scientific research will start a prairie fire in a new posture!
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Relying on the rich software and hardware resources of Bohrium Research Space Station, we plan to carry out an AI4S instrument transformation and upgrading community project for undergraduates and postgraduates in science and engineering majors such as biochemistry, environment, and materials during the 2025 summer vacation. This project provides completely free AI4S-related training for students, aiming to help students achieve laboratory intelligent transformation at a low cost through systematic teaching and lay a path of advancement for students' research and career development.
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## Core Advantages of the Project
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1.Systematic Curriculum Design, Step by Step
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**Solid Foundation in Basic Theory:** In-depth explanation of the basic architecture of automated experimental systems and a systematic introduction to the working principles of scientific research instruments.
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**Analysis of Key Modules:** Detailed analysis of the operating principles and development methods of core components such as sensors, actuators, and electronic control units.
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**Data Processing Teaching:** Comprehensive guidance on data collection, storage, and standardized processing procedures to lay a foundation for subsequent data analysis.
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2.Practice-Oriented Teaching, Replicable Cases
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**Practical Transformation Methods:** Teaching low-cost upgrading solutions for common experimental equipment, which are in line with actual research needs.
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**Reproduction of Top Journal Cases:** Providing practical examples of reproducing automated instruments in international top academic journals to help students keep up with the frontiers.
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**Application in Typical Scenarios:** Carrying out research scenario transformation practices based on Arduino and Python to improve students' practical operation capabilities.
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3.Comprehensive Support and Guarantee to Assist Learning
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**Free Training and Funding Support:** On the basis of completely free AI4S-related training, teams with selected innovative plans will also receive ¥1,0000 to ¥5,0000 in special funding support for instrument upgrading and transformation projects, used for hardware procurement and software development, effectively reducing practice costs.
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**Full Guidance from Tutors:** Arranging professional tutors to provide one-on-one question-and-answer guidance to help students overcome learning difficulties.
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**Incentives for Achievement Display:** Students with excellent projects will receive official certification certificates and have the opportunity to display their achievements.
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## Target Audience
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1.Undergraduates and postgraduates in science and engineering majors such as biochemistry, environment, and materials.
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2.Beginners interested in improving research efficiency and experimental automation.
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3.New researchers committed to engaging in the "AI for Science" field.
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## Preview of Project Practice Cases
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**Intelligent Transformation of Reaction and Post-Processing Devices:** Achieving autonomous constant temperature control of reaction devices, liquid level recognition, and real-time recording of experimental data (cost within ¥1000 ).
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**Intelligent Transformation of Characterization and Testing Instruments:** Realizing automatic sample change (cost ¥5000~20000), automatic start and stop of testing, and data recording (cost ¥0 ).
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**Construction of Environmental Monitoring System:** Building an automatic acquisition and recording system for environmental parameters such as temperature, humidity, and air pressure (cost within ¥1000).
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**Automation Upgrade of Liquid Operations:** Completing the automation transformation of dripping, pipetting, and liquid distribution processes (cost about ¥20000) and integrating remote control functions (cost ¥0).
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**Reproduction of Top Journal Laboratories:** Attempting to low-cost reproduce the "super laboratory" structures reported in international top academic journals.
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## Project Arrangement
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**Time:** 2025 summer vacation (specific time will be notified through official channels separately).
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**Form:** Online theoretical teaching combined with offline practical guidance, with supporting community achievement display and exchanges.
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## Graduation Achievements
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Students who complete the course learning will obtain:
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- Practical experience in scientific research instrument automation transformation projects.
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- Official certification graduation certificates.
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- Community achievement display and academic exchange opportunities.
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- Potential research internship recommendations in the "AI for Science" field.
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- Mastery of core AI4S technologies to create conditions for publishing excellent papers and obtaining ideal jobs.
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## Recommended Preparatory Courses
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Currently, Bohrium Research Space Station has opened preparatory courses for zero-based students, such as Python and machine learning, with detailed content and explanations, which can help students lay a technical foundation in advance. Whether you hope to preview in advance or deeply learn relevant knowledge, you are welcome to go to Bohrium Research Space Station to study and fully prepare for participating in the AI4S instrument transformation and upgrading community courses!
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Python Course: [Python Language Basics and Applications](https://mp.weixin.qq.com/s?__biz=MzUxMDQwOTk4MA==&mid=2247509044&idx=1&sn=6fc6f05dceb3898564d5c68b6f7a8467&chksm=f8691cedf362a3d9f84340308937ed7786174132c88c2796f2064b5166d4f39706a8d5bf4ec7&scene=126&sessionid=1749544403&subscene=227&clicktime=1749544517&enterid=1749544517&key=daf9bdc5abc4e8d040d4745e841de670e65ddf7d908d54faf31debc3915f2005c7ebbb11b993fa7d5c2bb4b55f2551228fd0049e8ce9622189124937cc9ec3225b204aed6ade1c09ba24a388bf5be3c39b11230dd3ba56ecc39fe222a722edf52b32fe7b99093c035ddba2a07e3a400b6ecc6bd91c9efecec0916aa2ccce6ca7&ascene=7&uin=MzY1Njc4Mzg0Ng%3D%3D&devicetype=Windows+11+x64&version=63090c33&lang=zh_CN&countrycode=CN&exportkey=n_ChQIAhIQns%2FwksBbvxuj0tbiDWlyKBLmAQIE97dBBAEAAAAAALrkL1o%2BBrQAAAAOpnltbLcz9gKNyK89dVj0q%2BrlToScRRJSYN7gu2of%2B3tl0fvV0W6fF4KfAPwUl%2BLT5AhDN5NrX4s2NRR0lcyWFbcKS0FhRmKHkgCexq3b1lmlFBB1AI0YJ%2BZo1KoKHqAfEV9bp6f7MQ6qLb7tq9PRQJetPRI3HwpdHQGScsveHyOB3XPo3SDEW31JoSLsRJwUjM%2F6mUAQW1yOkwvGc3d0Ae0x5enGeCmDbkcKPGSGjN0Ppk8SlbqN79tFOE0kdmrLW17P4xAkkYG1%2FCt4XleL&acctmode=0&pass_ticket=1shSqx6W8tbUEVjZh2nmBs2y%2BdydyN%2BrepAikK5W6QUlDjON4RxLByMPkwnVHlSy&wx_header=1)
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Machine Learning Course: [Li Hongyi's Machine Learning (Selected Content Edition)](https://mp.weixin.qq.com/s?__biz=MzUxMDQwOTk4MA==&mid=2247509044&idx=1&sn=6fc6f05dceb3898564d5c68b6f7a8467&chksm=f8691cedf362a3d9f84340308937ed7786174132c88c2796f2064b5166d4f39706a8d5bf4ec7&scene=126&sessionid=1749544403&subscene=227&clicktime=1749544517&enterid=1749544517&key=daf9bdc5abc4e8d040d4745e841de670e65ddf7d908d54faf31debc3915f2005c7ebbb11b993fa7d5c2bb4b55f2551228fd0049e8ce9622189124937cc9ec3225b204aed6ade1c09ba24a388bf5be3c39b11230dd3ba56ecc39fe222a722edf52b32fe7b99093c035ddba2a07e3a400b6ecc6bd91c9efecec0916aa2ccce6ca7&ascene=7&uin=MzY1Njc4Mzg0Ng%3D%3D&devicetype=Windows+11+x64&version=63090c33&lang=zh_CN&countrycode=CN&exportkey=n_ChQIAhIQns%2FwksBbvxuj0tbiDWlyKBLmAQIE97dBBAEAAAAAALrkL1o%2BBrQAAAAOpnltbLcz9gKNyK89dVj0q%2BrlToScRRJSYN7gu2of%2B3tl0fvV0W6fF4KfAPwUl%2BLT5AhDN5NrX4s2NRR0lcyWFbcKS0FhRmKHkgCexq3b1lmlFBB1AI0YJ%2BZo1KoKHqAfEV9bp6f7MQ6qLb7tq9PRQJetPRI3HwpdHQGScsveHyOB3XPo3SDEW31JoSLsRJwUjM%2F6mUAQW1yOkwvGc3d0Ae0x5enGeCmDbkcKPGSGjN0Ppk8SlbqN79tFOE0kdmrLW17P4xAkkYG1%2FCt4XleL&acctmode=0&pass_ticket=1shSqx6W8tbUEVjZh2nmBs2y%2BdydyN%2BrepAikK5W6QUlDjON4RxLByMPkwnVHlSy&wx_header=1), [Understanding Deep Learning](https://mp.weixin.qq.com/s?__biz=MzUxMDQwOTk4MA==&mid=2247509044&idx=1&sn=6fc6f05dceb3898564d5c68b6f7a8467&chksm=f8691cedf362a3d9f84340308937ed7786174132c88c2796f2064b5166d4f39706a8d5bf4ec7&scene=126&sessionid=1749544403&subscene=227&clicktime=1749544517&enterid=1749544517&key=daf9bdc5abc4e8d040d4745e841de670e65ddf7d908d54faf31debc3915f2005c7ebbb11b993fa7d5c2bb4b55f2551228fd0049e8ce9622189124937cc9ec3225b204aed6ade1c09ba24a388bf5be3c39b11230dd3ba56ecc39fe222a722edf52b32fe7b99093c035ddba2a07e3a400b6ecc6bd91c9efecec0916aa2ccce6ca7&ascene=7&uin=MzY1Njc4Mzg0Ng%3D%3D&devicetype=Windows+11+x64&version=63090c33&lang=zh_CN&countrycode=CN&exportkey=n_ChQIAhIQns%2FwksBbvxuj0tbiDWlyKBLmAQIE97dBBAEAAAAAALrkL1o%2BBrQAAAAOpnltbLcz9gKNyK89dVj0q%2BrlToScRRJSYN7gu2of%2B3tl0fvV0W6fF4KfAPwUl%2BLT5AhDN5NrX4s2NRR0lcyWFbcKS0FhRmKHkgCexq3b1lmlFBB1AI0YJ%2BZo1KoKHqAfEV9bp6f7MQ6qLb7tq9PRQJetPRI3HwpdHQGScsveHyOB3XPo3SDEW31JoSLsRJwUjM%2F6mUAQW1yOkwvGc3d0Ae0x5enGeCmDbkcKPGSGjN0Ppk8SlbqN79tFOE0kdmrLW17P4xAkkYG1%2FCt4XleL&acctmode=0&pass_ticket=1shSqx6W8tbUEVjZh2nmBs2y%2BdydyN%2BrepAikK5W6QUlDjON4RxLByMPkwnVHlSy&wx_header=1)
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## Registration Information
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**Project Initiators:** Beijing Academy of Science and Intelligence (AISI), DeepModeling Open Source Community
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**Technical and Community Support Platform:** Bohrium Research Space Station
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Consultation Email: deepmodeling@deepmodeling.com
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Registration Methods:
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1.Scan the QR code below or click the link to fill out the registration form.
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Questionnaire Link :https://j1q.cn/C9ISKvEU
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2.After submitting the registration information, please do not switch out quickly. You will be automatically redirected to the WeChat group QR code page. Please scan the code to join.
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<center>
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<img src="https://dp-public.oss-cn-beijing.aliyuncs.com/community/Blog%20Files/DeePMD_22_05_2025/p1.jpg">
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</center>
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(If you cannot join via the QR code, please add the DeepModeling assistant WeChat: `deeppotential`, and the assistant will manually add you to the group.)

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