Yuanyuan Liu ᱨᱮᱱᱟᱜ Optical Sorting ᱥᱮᱞ ᱥᱚᱨᱴᱤᱝ ᱥᱤᱥᱴᱚᱢ

Yuanyuan Liu ᱨᱮᱱᱟᱜ Optical Sorting ᱥᱮᱞ ᱥᱚᱨᱴᱤᱝ ᱥᱤᱥᱴᱚᱢ ᱫᱚ ᱵᱤᱜᱭᱟᱱᱤᱠ ᱭᱟᱱᱛᱨᱟ ᱯᱨᱚᱛᱤᱡᱚᱜᱤᱛᱟ ᱵᱷᱟᱜ ᱨᱮ 2025 A' Design Award ᱥᱳᱱᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱨᱮᱱᱟᱜ ᱟᱹᱰᱤ ᱢᱟᱱ ᱟᱠᱟᱱ ᱡᱤᱛᱠᱟᱨ ᱠᱟᱱᱟ᱾

ᱥᱳᱱᱟᱵᱤᱜᱭᱟᱱᱤᱠ ᱭᱟᱱᱛᱨᱟ· 2025

Optical Sorting ᱥᱮᱞ ᱥᱚᱨᱴᱤᱝ ᱥᱤᱥᱴᱚᱢ

Yuanyuan Liu ᱞᱮᱠᱟᱛᱮ

ᱵᱤᱜᱭᱟᱱᱤᱠ ᱭᱟᱱᱛᱨᱟ ᱵᱷᱟᱜ ᱨᱮ A' Design Award ᱥᱳᱱᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱡᱤᱛᱠᱟᱨ

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ᱡᱟᱸᱪ ᱟᱠᱟᱱ ᱮᱣᱟᱨᱰ ᱡᱤᱛᱠᱟᱨ

#166755 ᱞᱟᱜᱤᱫ ᱮᱣᱟᱨᱰ ᱦᱟᱞᱚᱛ ᱡᱟᱸᱪ

A' Design Award ᱨᱮ ᱧᱮᱞ ᱢᱮ ᱯᱨᱮᱥ ᱨᱤᱞᱤᱡ ᱯᱩᱨᱥᱠᱟᱨ ᱵᱮᱡ

ᱨᱚᱝ

ᱰᱤᱡᱟᱭᱤᱱ

Optical Sorting ᱥᱮᱞ ᱥᱚᱨᱴᱤᱝ ᱥᱤᱥᱴᱚᱢ ᱵᱟᱵᱚᱛ ᱛᱮ

ᱚᱯᱴᱤᱠᱟᱞ ᱥᱚᱨᱴᱤᱝ ᱫᱚ ᱵᱟᱭᱚᱢᱮᱰᱤᱠᱟᱞ ᱜᱟᱹᱣᱮᱭᱟᱹ ᱞᱟᱹᱜᱤᱫ ᱛᱮᱭᱟᱨ ᱟᱠᱟᱱ ᱢᱤᱫᱴᱟᱹᱝ ᱚᱯᱴᱤᱠᱟᱞ ᱥᱮᱞ ᱥᱚᱨᱴᱤᱝ ᱥᱤᱥᱴᱚᱢ ᱠᱟᱱᱟ᱾ ᱥᱮᱞ ᱠᱚ ᱢᱤᱫᱴᱟᱹᱝ ᱢᱟᱭᱠᱨᱚᱯᱷᱞᱩᱭᱰᱤᱠ ᱪᱤᱯ ᱨᱮ ᱞᱟᱫᱮ ᱠᱚᱣᱟ ᱟᱨ ᱚᱯᱴᱤᱠᱟᱞ-ᱤᱱᱰᱭᱩᱥᱰ ᱰᱟᱭᱤᱞᱮᱠᱴᱨᱚᱯᱷᱚᱨᱮᱥᱤᱥ ᱛᱮ ᱦᱚᱨ ᱩᱫᱩᱜ ᱠᱚᱣᱟ, ᱚᱱᱟ ᱛᱮ ᱱᱚᱢᱩᱱᱟ ᱠᱚ ᱵᱮᱜᱚᱨ ᱱᱚᱠᱥᱟᱱ ᱛᱮ ᱥᱚᱨᱴ ᱦᱩᱭᱩᱜᱼᱟ᱾ ᱢᱤᱫᱴᱟᱹᱝ ᱤᱢᱮᱡᱤᱝ ᱥᱤᱥᱴᱚᱢ ᱥᱮᱞ ᱠᱚ ᱨᱮᱠᱚᱰ ᱠᱚᱣᱟ, ᱟᱨ ᱥᱚᱯᱷᱴᱣᱮᱭᱟᱨ ᱫᱚ ᱨᱤᱭᱟᱞ ᱴᱟᱭᱤᱢ ᱨᱮ ᱪᱤᱛᱟᱹᱨ ᱠᱚ ᱵᱤᱪᱟᱹᱨ ᱠᱮᱫ ᱛᱮ ᱡᱟᱹᱦᱟᱸᱭ ᱥᱮᱞ ᱩᱨᱩᱢ ᱟᱨ ᱦᱟᱹᱴᱤᱧ ᱠᱚᱣᱟ᱾ ᱥᱚᱨᱴ ᱟᱠᱟᱱ ᱥᱮᱞ ᱠᱚ ᱛᱟᱭᱚᱢ ᱛᱮ ᱠᱟᱞᱪᱟᱨ ᱟᱨ ᱰᱷᱮᱨ ᱜᱟᱹᱣᱮᱭᱟᱹ ᱞᱟᱹᱜᱤᱫ ᱡᱟᱣᱨᱟ ᱦᱩᱭᱩᱜᱼᱟ᱾ ᱢᱤᱫ ᱚᱠᱛᱮ ᱨᱮ ᱜᱮᱞ ᱦᱟᱡᱟᱨ ᱠᱷᱚᱱ ᱵᱟᱹᱰᱛᱤ ᱮᱠᱞᱟ ᱥᱮᱞ ᱠᱚ ᱪᱟᱞᱟᱣ ᱫᱟᱲᱮᱭᱟᱜᱼᱟ, ᱚᱱᱟᱛᱮ ᱯᱚᱡᱤᱴᱤᱵᱽ ᱯᱞᱟᱡᱢᱟ ᱥᱮᱞ ᱥᱠᱨᱤᱱᱤᱝ ᱫᱚ ᱢᱤᱫ ᱢᱟᱦᱟ ᱨᱮ ᱜᱮ ᱯᱩᱨᱟᱹᱣ ᱫᱟᱲᱮᱭᱟᱜᱼᱟ᱾ ᱱᱚᱶᱟ ᱡᱤᱱᱤᱥ ᱨᱮᱭᱟᱜ ᱢᱟᱯ ᱫᱚ ᱖᱐ ᱜᱩᱱᱟᱱ ᱘᱐ ᱜᱩᱱᱟᱱ ᱑᱗᱐ ᱥᱮᱸᱴᱤᱢᱤᱴᱚᱨ ᱠᱟᱱᱟ᱾

ᱢᱟᱱᱟᱱ

A' Design Award ᱥᱳᱱᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱵᱟᱵᱚᱛ ᱛᱮ

Optical Sorting ᱥᱮᱞ ᱥᱚᱨᱴᱤᱝ ᱥᱤᱥᱴᱚᱢ ᱫᱚ A' Design Award ᱥᱳᱱᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱧᱟᱢ ᱟᱠᱟᱱᱟ, ᱱᱚᱶᱟ ᱫᱚ ᱵᱷᱟᱞᱟᱭ ᱛᱮ ᱵᱷᱟᱞᱟᱭ ᱟᱨ ᱥᱩᱱᱫᱚᱨ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ ᱞᱟᱹᱜᱤᱫ ᱮᱢ ᱟᱠᱟᱱ ᱥᱚᱢᱟᱱ ᱠᱟᱱᱟ᱾ ᱱᱚᱶᱟ ᱠᱚ ᱫᱚ ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱠᱚ ᱨᱮᱭᱟᱜ ᱵᱷᱟᱵᱱᱟ ᱟᱨ ᱵᱷᱟᱞᱟᱭ ᱠᱟᱢᱤ ᱡᱷᱟᱞᱠᱟᱣ ᱠᱚ᱾ Optical Sorting ᱥᱮᱞ ᱥᱚᱨᱴᱤᱝ ᱥᱤᱥᱴᱚᱢ ᱫᱚ ᱠᱚᱞᱟ, ᱣᱤᱜᱭᱟᱱ, ᱰᱤᱡᱟᱭᱤᱱ ᱟᱨ ᱴᱮᱠᱱᱚᱞᱚᱡᱤ ᱨᱮᱭᱟᱜ ᱥᱤᱢᱟ ᱵᱟᱲᱦᱟᱣ ᱟᱨ ᱫᱩᱱᱤᱭᱟ ᱵᱷᱟᱞᱟᱭ ᱞᱟᱹᱜᱤᱫ ᱜᱚᱲᱚ ᱮᱢ ᱠᱟᱱᱟ᱾

ᱰᱤᱡᱟᱭᱤᱱ ᱯᱤᱪᱷᱟ ᱨᱮ

ᱯᱨᱮᱥ ᱠᱤᱴ

ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱧᱮᱞ ᱠᱷᱚᱱ ᱠᱨᱮᱰᱤᱴ, ᱴᱤᱢ ᱥᱫᱚᱥᱭ ᱟᱨ ᱴᱮᱠᱱᱤᱠᱮᱞ ᱵᱤᱵᱚᱨᱚᱬ ᱮᱢ ᱟᱠᱟᱱᱟ᱾

ᱟᱞᱜᱟ ᱜᱩᱱ ᱠᱚ: Efficiently screening and analyzing antibody discovery is crucial for reducing time and costs in antibody drug development. Traditional hybridoma technology faces challenges like long cycles, limited diversity, and inadequate functional analysis, hindering progress. The AI nanobiochip technology in the Light Workbench can rapidly separate, analyze, culture, and export tens of thousands of single cells simultaneously, completing positive plasma cell screening in one day.
ᱢᱟᱯ ᱟᱨ ᱯᱮᱠᱮᱡᱤᱝ: 60cm*80cm*170cm
ᱴᱮᱜ ᱠᱚ: cell, instrument， Biological
ᱛᱮᱭᱟᱨ ᱛᱮᱠᱱᱚᱞᱚᱡᱤ: Such products may utilize a variety of production technologies, including optical-induced dielectrophoresis, microfluidics, micro-nano fabrication, laser technology, imaging and detection, as well as automation and control. These technologies work in concert to achieve precise manipulation, efficient sorting, rapid analysis, and automated processing of cells, thereby providing powerful tools for biomedical research.
ᱜᱚᱵᱮᱥᱚᱱᱟ: In our research, we looked into a particular topic to gain more insights. We conducted experiments or studies, using various tools like scientific instruments or software, depending on what we were focusing on. If it involved people, we had participants; if it was about animals or cells, those were our subjects. Through our methods, we observed, collected data, and tested different conditions. The results revealed interesting findings, such as a new relationship or a significant change. These findings gave us new understandings and could point the way for future research.
ᱯᱨᱮᱨᱚᱱᱟ: The Optical Cell Sorting System is a breakthrough in cell sorting for biomedical research. It replaces time-consuming, sample-damaging manual sorting with optoelectronic dielectrophoresis, which precisely controls cells for efficient, undamaged sorting. This technology boosts accuracy and speed, providing a reliable, streamlined cell sorting and culture process. The Light Operator enhances lab efficiency, enabling scientists to advance cell research.
ᱯᱨᱚᱡᱮᱠᱴ ᱥᱚᱢᱚᱭ: The project started in December 2020 in Beijing and finished in August 2023 in Beijing.
ᱠᱟᱹᱢᱤ ᱦᱚᱨ: First, the cells or other biological samples to be sorted are prepared and loaded into the microfluidic chip of the system. Then, the optical-induced dielectrophoresis technology is used to manipulate and sort the cells based on their properties. During this process, the imaging system captures the images of the cells, and the software analyzes the images in real-time to identify and classify the cells. Finally, the sorted cells are collected, and the results are output and processed for subsequent research.
ᱴᱤᱢ ᱥᱮᱫᱟᱭ ᱠᱚ: Yuanyuan Liu
Hu Yin
Zipeng Zhang
Haocheng Han
Changgen Li