Development of a software module for hyperspectral data correction of moving objects

Photon等正在将荧光成像平台商业化，以观察碳纳米管传感器在 红外线红外光谱区域的选择是由生物组织的高透明度驱动的， 与可见光的波长范围相比。最近，这项技术允许同时成像， 17种不同的传感器，导致其他研究对Photon等成像平台的兴趣越来越大 组然而，所研究的对象是生物样品，其中细胞器在过程中移动， 测量.使用Photon电流分析软件，无法使用这些物体的高光谱， 数据丢失。应该进行另一次实验，希望在实验过程中不会发生运动。 测量.这个Engage项目专门解决了这个移动对象的问题，并应导致 开发一个软件模块，将重建移动物体的超光谱数据。

Photon etc. is commercializing a fluorescence imaging platform to observe carbon nanotube sensors in the infrared. The choice of the infrared spectral region is driven by the high transparency of biological tissues in this wavelength range compared to the visible. Recently, this technology allowed the simultaneous imaging of 17 different sensors resulting in an increasing interest for Photon etc imaging platform from other research groups. However, the objects under study are biological samples in which organelles are moving during measurement. With Photon current analysis software, the hyperspectral for these objects cannot be used and data is lost. Another run of experiment should be performed hoping that no movement will occur during the measurement. This Engage project specifically addresses this moving objects issue and should result in the development of a software module that will reconstruct hyperspectral data of moving objects.