Our Work
本團隊主要完成前瞻性液態切片感測分析研究，發展重點包括生醫感測器及奈微米生物醫學在系統生物學感測分析、轉譯醫學及民生健康福祉的實際應用，著重在新穎系統與材料於生醫感測之應用，同時兼顧奈微米醫學及臨床轉譯醫學統計分析，理論與實務並重。
01
建立恆溫核酸放大檢測技術快速偵測特定基因
Development of an isothermal amplification assay for rapid nucleic acid detection
The developed technologies enable rapid amplification and detection of biomarkers in extracellular vesicles in small-scale systems and generate fluorescent imaging reports in high-throughput microfluidic channels using bioassays. This improves the speed and accuracy of GBM diagnosis and treatment decision-making using liquid biopsy, potentially reducing the need for invasive surgeries.
這項技術的開發包括：(a)樣品可在1.5小時內在小型化檢測系統中迅速擴增及檢測外泌體中的微量生物分子標記。(b)使用生物測定法並在高通量微流道產生螢光分子影像報告，可提高使用液體活檢診斷癌症及作出治療決策的速度，也可能減少患者接受非必要的侵入性手術。
02
點擊化學與生物正交化學
Click chemistry and bio orthogonality
Click chemistry and exosome detection can avoid tissue risks or losses. Exosomes in blood or urine reflect cellular expression, aiding tumor screening and prognosis. Biosensor targets can improve clinical efficiency.
將點擊化學技術結合外泌體檢測，可避免傳統組織檢體帶來的風險和損失。外泌體可透過血液或尿液檢測，反映生成細胞表現，具潛在的腫瘤篩檢和治療預後價值。未來可開發生物目標物感測器，提高臨床應用效率。
03
建立高通量單顆外泌體影像分析方法
Development of an image profiling method for high-throughput single extracellular vesicle analysis
A high-throughput single extracellular vesicle imaging analysis method (sEVA) has been developed to improve early cancer detection and diagnosis accuracy. This method utilizes membrane proteins on extracellular vesicles (EVs) derived from tumor cells as circulating biomarkers for research, as well as the bright red fluorescence emitted from photosensitive organic compounds generated from the different metabolic rates between normal and tumor cells.
透過(a)腫瘤細胞衍生的細胞外泌體 (EV) 膜上蛋白作為循環生物標誌物以進行研究以及利用(b)正常細胞與腫瘤細胞之代謝速率不同所生成之光敏性有機化合物所發出明亮的紅色螢光。以此來發展高通量單顆外泌體影像分析方法(sEVA) 以提高早期癌症檢測診斷準確性。
04
臨床檢體分析技術與檢驗
Clinical Sample Analysis Techniques and Testing
Clinical specimen analysis techniques and testing refer to the biological measurement and analysis of human specimens, such as blood, and can aid in rapid and accurate disease diagnosis, treatment monitoring, and disease progression prediction, improving medical diagnosis accuracy and efficiency.
臨床檢體分析技術與檢驗是醫學領域中的一個重要研究方向，通常指的是對人體檢體（血液）進行生物學方面的測量和分析。這些技術和檢驗可以幫助實驗室的人員快速、準確地診斷疾病、監測療程以及預測疾病發展趨勢，提高醫學診斷的準確性和效率。
05
液態切片於精準醫療之應用Application of liquid slices in precision medicine
Small and high-throughput magneto-electrochemical IoT sensing systems and analytical methods have been successfully applied in various fields from 2016 to 2021, including: i) Rapid detection of food allergens. ii) Accurate medical diagnosis and prognosis tracking - rapid and trace amounts sensing of extracellular vesicle proteins in liquid biopsy specimens from cancer and organ transplant patients.
小型與高通量磁電化學IoT感測系統及分析方法，2016~2021成功應用領域包括：i)快速食物過敏原檢測。ii) 精準醫療診斷及預後追蹤─癌症及器官移植患者之液態切片檢體中外泌體蛋白快速微量感測。
06
人工智慧於醫療領域之應用
The application of artificial intelligence in the field of healthcare
Machine learning is widely used in medical image recognition, including X-rays, CT scans, and MRI, enabling tasks like image classification, object detection, and region segmentation. It can efficiently identify microspheres and study gene expression in glioblastoma cells using Roboflow and deep learning, with advanced techniques to analyze proteins, mRNA, and miRNA.
機器學習在醫療影像辨識上廣泛應用，包含多種影像類型如X光片、CT、MRI等。可用於圖像分類、目標檢測、區域分割和圖像重建等。透過Roboflow和深度學習可高效識別微珠，研究神經膠質瘤細胞外囊泡的靶基因表達，並使用先進技術與設備分析蛋白、mRNA和miRNA。
07
用於液體活檢的微滴流控影像系統
Droplet Microfluidic Devices for Accurate Liquid Biopsy Screening
A microfluidic system has been developed for high-resolution imaging of low-concentration extracellular vesicle-related nucleic acid molecules, using microchannel chips and droplet generation for absolute quantification of the sample. The system includes a microfluidic control system for detecting the concentration of the molecules.
開發了一種高分辨率微流道芯片成像的微濃度微流道檢測系統，其中包含 i) 能夠檢測到外泌體的相關核酸分子濃度的微流控系統 ii) 在微流道芯片上生成數萬個液滴，將樣品分離成獨立的單元，以用於樣品的絕對定量。