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"Three-in-one" label-free biochemical detection technology platform
In the journey of scientific exploration, the examination of theories and the verification of experiments are complementary wings. Powerful technological tools are an important means for researchers to delve deeper into the secrets of the natural world.
Shi Yigong, a professor at Tsinghua University and president of Westlake University, led a team to achieve breakthrough results in cryo-EM technology, which is a vivid example of how modern science and technology can help scientific research move forward.
Professor Shi Yigong once recalled his research journey that in 2008, he returned to his alma mater, Tsinghua University, and chose a high-risk research direction, without any guarantee of success at first. After four years of perseverance and hard work, the breakthrough of cryo-EM technology in 2013 brought a turnaround for his team, and they have since achieved a series of important results, including the high-resolution three-dimensional structure elucidation of human-secreted enzymes. These achievements not only advance the life sciences, but also demonstrate the great value of scientific and technological tools.
In the field of "marker-free" biochemical detection technology, Professor Chu Kaiqin's team at the University of Science and Technology of China has developed advanced technology tools to provide a new observation method for biomedical research.
So can this "label-free" detection system based on Raman analysis technology replicate the breakthrough that cryo-EM technology has brought to life science?
I think the first step is to need more pioneers and explorers to try new methods in scientific research.
The core achievements of Professor Chu Kaiqin's team lie in their developmentNanoparticle multi-parameter characterization analysis systemPhase-Guided Raman Sampling and Analysis SystemwithOrganelle-specific phase contrast microscopy
These systems are essential for implementationFastUnmarkedMultimodalThe detection of cells and nanoparticles is of great significance. Not only do they have their own functions, but they canAccording to different testing needsConductedCross combinationsto meet a variety of complex experimental scenarios.
The results have been published in more than 10 world-class journals such as Ournal of American Chemical Society, ACS Photonics, Analytical Chemistry, and Biomedical Optics Express**, further proving that their technology has important application value in promoting the development of the biomedical field.
The following is a brief introduction of the three systems, please send a private message to our team for detailed information.
Nanoparticle multi-parameter characterization analysis system
This is a platform composed of a multi-modal optical tweezer system + integrated control system + multi-modal data analysis system, according to Professor Chu Kaiqin, the systemThe biggest featureYesAchieve rapid multiparametric characterization at the "single particle" level without labeling, which can be performed on nanoscale biochemical particulate matterSize, refractive index, chemical composition distributionand other information characterization,It is especially suitable for samples with high single-particle heterogeneityDetect.
The system uses optical tweezers technology to automatically capture and release single particles. The system comes with a deep learning algorithm, which can remove the background and achieve fast calculation in the spectral analysis of complete and determined chemical models.
Phase-Guided Raman Sampling and Analysis System
This is a new set of observation protocols composed of label-free phase microscopy + deep learning + Raman spectroscopy, which can realize organellesLong-term, mark-free, fastof"Morphological-chemical" multimodal observations。The system can be used for organelle acquisition and analysis through image acquisitionMorphological information(size and location) andContextual information(relationships with other organelles such as lipid droplets to mitochondria, lipid droplets to nuclei), and this information can be used in relevant analyses.
The most important feature of this system is its fast implementationDynamic tracking of submicroscopic organelles (e.g., lipid droplets) and in vivo characterization of biochemical parameters, and by coupling resolution phase imaging with Raman spectroscopy,Spectra can also be accurately collected for single organelles within organelle clusters. Our lipid droplet experimental data demonstrate that the detection speed of the system is better than that of conventional spot scanning Raman microscopesFold.
Organelle-specific phase contrast microscopy
The functions of the system are:Cells that are not labeledMediumAutomated analysisMultiple organellesKinetic parametersand itsInteractionsto achieve whole-organelle dynamics and interactionsLabel-free visualizationwithAnalytics。It is mainly used to observe the interaction between various organelles (including mitochondria, lysosomes, endoplasm, etc.). It can be passedSingle 2D intensity imageMitochondria and lysosomes can be identified and tracked, image acquisition is done by microscopy, and dynamic recognition is done by algorithms.
Corresponding Results**Address:
1-combined morpho-chemical profiling of individual extracellular vesicles and functional nanoparticles without labels，yichuan dai, suwen bai, chuanzhen hu, kaiqin chu, bing shen*, and zachary j. smith*，anal. chem. 2020, 92, 7, 5585–5594
2-hybrid principal component analysis denoising enables rapid, label-free morpho-chemical quantification of individual nanoliposomes，yichuan dai*, yajun yu, xianli wang, ziling jiang, yulan chen, kaiqin chu, and zachary j. smith*，anal. chem. 2022, 94, 41, 14232–14241
3-multicomponent raman spectral regression using complete and incomplete models and convolutional neural networks†，derrick boateng, chuanzhen hu, yichuan dai, kaiqin chu, jun du* and zachary j. smith * the analyst. 2022, 147(20)
4-deep learning-based size prediction for optical trapped nanoparticles and extracellular vesicles from limited bandwidth camera detection，derrick boateng, kaiqin chu, zachary j. smith, jun du,and yichuan dai，biomed opt express. 2024 jan 1; 15(1): 1–13.
5-rapid intracellular detection and analysis of lipid droplets' morpho-chemical composition by phase-guided raman sampling，hao zhang , jingde fang , yichuan dai , yang pan , kaiqin chu , zachary j smith，anal chem. 2023 sep 12;95(36):13555-13565.
6-label-free analysis of organelle interactions using organelle-specific phase contrast microscopy (os-pcm)，jingde fang, hao zhang, yang pan, zachary j. smith*, and kaiqin chu* acs photonics 2023, 10, 4, 1093–1103
The three sets of system technologies developed by Professor Chu Kaiqin and his team can not only complete the collection of experimental data independently, but also flexibly respond to complex and changeable testing needs.
These systems can be performed between single particle capture and parametric characterization, rapid phase-guided detection, and observation of organelle dynamicsCross-application, greatly solvedThe device is reused in multiple detection scenariosproblems. Through this combination of multi-dimensional technologies, Raman signal analysis can support long-term panoramic in vivo observations, which further promotes the development and maturity of label-free biochemical detection technology.
In the future, we hope to make these technology platforms available to more researchers, so that scientists like Professor Shi Yigong who are committed to major cutting-edge research can obtain high-quality testing services in a more affordable way. We are committed to providing researchers with more powerful tools to advance the field of life sciences through scientific and technological innovation.
To this end, we offer the following services:
Provide sample testing services, you can get scientific analysis result data and analysis maps without spending high cost on the purchase of instruments and equipment.
Provide mature system construction services, we will build an optical system with the above detection functions in your laboratory according to your needs and provide supporting algorithm software.
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