Model overview. a is the reconstruction process of NIR-IIb images.b is the translation process from NIR-IIa images to NIR-IIb images. \(w_1^+,w_5^+,w_9^+,w_{14}^+\) represent the latent code of \(w^+\) space. A represents an affine transformation. The sun and snowflake symbols respectively indicate that network parameters are updated and network parameters are not updated during the training ...

From your NIR + Lab data, we develop optimal NIR-Calibrations for you. For any NIR spectrometer. You don't need a Chemometric or Math software! It's Your Data and Your Calibration. You can anonymize your NIR + Lab data before sending. We delete your NIR + Lab data after processing. Only you get download access to your Calibrations.

2025年3月27日 · Multimodality imaging is pivotal for cancer diagnosis. This study presents a novel approach for near-infrared fluorescence (NIRF) and magnetic resonance (MR) imaging to cancer diagnosis through leveraging probe-induced tumor-specific biomarker amplification. By amplifying tumor-specific biomarkers via the Nrf2 pathway and a Fenton-like reaction, the developed probes significantly improve the ...

2 天之前 · Furthermore, in recent years, transformer-based models such as SASRec , gSASRec , and BERT4Rec have demonstrated remarkable performance in next-item recommendations (NIR) owing to the ability to model the sequential nature of user’s behavior and complex optimization objectives [19, 20, 31]. However, applying these methods to NBR remains ...

6 天之前 · a, Schematic representation of NETMAP-engineered S. Enteritidis (ΔXII ΔrpoS ΔpurI) for cancer therapy in xenograft mouse tumor models, with therapeutic protein expression induced by NIR light ...

2024年2月27日 · Integrating near-infrared spectroscopy (NIRS or NIR spectroscopy) in an analysis workflow should pave the way toward realizing a fast, accurate, and non-destructive method for routine analysis. But how can NIR spectroscopy be fully optimized when implemented in your laboratory workflow?

Model Nir - Excel This document appears to be a receipt and inspection note for goods received. It lists the name of the receiving entity, date, accompanying documents, inspector name, and details of the goods received including item number, description, unit of measure, quantity as per documents, quantity received, unit price and value.

In this work, we propose a novel NIR-to-RGB translation method. It contains two sub-networks and a fusion operator. Specifically, a U-net based neural network is used to learn the texture information while a CycleGAN based neural network is adopted to excavate the color information.

To improve the stability and generalization of the established model, a novel adaptive robust method is proposed for NIR modeling in this work, in which the pattern-coupled sparse model has been developed to estimate the spectral peak wavebands adaptively.

The purpose of this chapter is to advance the implementation of NIR spectroscopy in the pharmaceutical industry by providing a procedure and tutorial for the development of near infrared spectroscopic (NIRS) quantitative methods and a look at two relatively new approaches.