Publications by authors named "T Kusumoto"
Sectm1a Depletion Promotes Neutrophil Recruitment during Pneumococcal Pneumonia.
Am J Respir Cell Mol Biol
December 2024
Airway epithelial cells (AECs) play an essential role in the immune response during bacterial pneumonia. Secreted and transmembrane 1a (Sectm1a) is specifically expressed in AECs during early (SP) infection. However, its function remains largely unexplored.
View Article and Find Full Text PDFEvaluation and optimization of measurement conditions for heavy ions with fluorescent nuclear track detectors.
Radiat Prot Dosimetry
November 2024
In applying fluorescent nuclear track detectors for heavy ion measurement, the fluorescence intensity directly influences linear energy transfer (LET) estimation. However, the conventional analysis highly depends on the analyzed depth and the reference frames from the optical readout. To improve the accuracy of measurements of heavy ions, the gradient of intensity and moving average fluorescence intensity were acquired and calculated to optimize the measurement conditions.
View Article and Find Full Text PDFArticle Synopsis
- * Intraoperative elastography was used during surgery to ensure complete removal of the adenomyotic tissue while protecting the endometrium, with MRI confirming no remaining adenomyosis post-surgery.
- * The patient achieved a successful twin delivery via cesarean section after IVF, signaling the potential of elastography-guided surgery for enhancing fertility in women with adenomyosis, though more research is needed to confirm its effectiveness and safety.
Article Synopsis
- A new ion diagnostic method has been created for laser-driven ion acceleration using fluorescent nuclear track detectors (FNTDs), which record particle tracks without needing chemical etching.
- This method utilizes a confocal laser microscope to observe color centers associated with ion energy deposits and allows for 3D tracking of these particles through depth-layered images.
- To efficiently analyze ion tracks among overlapping signals from electrons and photons, an automated detection and tracking system using support vector classifiers has been developed and tested in a specific laser experiment.