Company Filing History:
Years Active: 2024-2025
Title: Innovations by Qiaoni Chen in Cell Image Analysis
Introduction
Qiaoni Chen is a prominent inventor based in Shenzhen, China. He has made significant contributions to the field of biomedical technology, particularly in cell image analysis. With a total of three patents to his name, Chen's work focuses on enhancing the efficiency and accuracy of sample analysis methods.
Latest Patents
One of Chen's latest patents is a "Cell image analysis device and sample analysis method." This invention provides a method for imaging a sample smear of a test sample using an imaging device in an assigned analysis mode. The device identifies and analyzes first cell images of the test sample. If an abnormality is detected in the sample smear, the device can switch to an additional analysis mode tailored to the identified abnormality. This innovation significantly increases processing efficiency and accuracy in analyzing cell images.
Another notable patent is the "Target cell statistical method, apparatus, and system." This invention involves acquiring a cell image of a blood specimen derived from a blood sample to be tested. The cell image analysis apparatus automatically identifies the number of target cells and reference cells within the image. It calculates the number of target cells in the blood sample based on the identified data, streamlining the analysis process.
Career Highlights
Qiaoni Chen is currently employed at Shenzhen Mindray Bio-medical Electronics Co., Ltd. His work at this leading biomedical company has allowed him to develop innovative solutions that address critical challenges in medical diagnostics.
Collaborations
Chen collaborates with talented coworkers, including Bo Ye and Yuan Xing, who contribute to the development of advanced biomedical technologies.
Conclusion
Qiaoni Chen's innovative patents in cell image analysis demonstrate his commitment to improving medical diagnostics. His work not only enhances the accuracy of sample analysis but also contributes to the overall efficiency of biomedical technology.
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