The first image fusion of the hottest mass spectro

2022-08-02
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The first "image fusion" of mass spectrometry analysis and microscopy

researchers from Vanderbilt University have completed the first "image fusion" of mass spectrometry analysis and microscopy. This technological breakthrough will greatly improve the diagnostic efficiency and therapeutic efficacy of cancer. This research result was published in the journal Nature method

microscopy can help researchers obtain high-resolution images of tissues, but "this technology cannot give you specific molecular information," said Dr. Richard caprioli, director of the center for Biochemistry and mass spectrometry at Vanderbilt University and corresponding author of the article

mass spectrometry technology can complete various accurate molecules of protein, lipid and other molecules in tissues. Common fault 4: but the image processing is too rough. If the advantages of these two technologies can be combined, researchers will be able to obtain high-resolution molecular composition in vivo

"this is an important technological breakthrough for me," said Dr. caprioli

caprioli said that this technology can redefine the scope of surgery, such as the boundary between cancer cells and normal cells during tumor surgery. At present, this boundary is determined by histology, that is, by observing the appearance of cells under a microscope. However, many cancer patients may have difficulty displaying the hardness or those with low hardness will relapse after surgery. This may be because some cancer cells look like normal cells. If mass spectrometry is used for protein composition analysis, the range of cancer cells can be accurately marked

this technical achievement was completed by several researchers, including Dr. RAF Van de plas of Delft University of technology in the Netherlands, Dr. Junhai Yang of Vanderbilt University, etc

in this study, they adopted a mathematical method called regression analysis, so that each pixel of the mass spectrum verse can be projected onto the corresponding position of the microscopic imaging to obtain a new "predicted" image

conceptually, this is similar to the experimental points for drawing a standard curve. To understand this decision, Capri needs to review the history. Oli said that although there are no "actual points" between these real measurement points, they can be predicted through previous experiments. "We used the same method for forecasting data," he said

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