Analysis of multiple mass spectrometry images from different Phaseolus vulgaris samples by multivariate curve resolution-Reference-Cited by-同舟云学术

Analysis of multiple mass spectrometry images from different Phaseolus vulgaris samples by multivariate curve resolution

Published:2017-12 Issue: Volume:175 Page:557-565
ISSN:0039-9140
Container-title:Talanta
language:en
Short-container-title:Talanta

Author:

Bedia Carmen,Tauler Romà,Jaumot Joaquim

Funder

European Union's Seventh Framework Programme

Publisher

Elsevier BV

Subject

Analytical Chemistry

Reference43 articles.

1. Data handling in hyperspectral image analysis;Burger;Chemom. Intell. Lab. Syst.,2011

2. Hyperspectral imaging: a review of best practice, performance and pitfalls for in-line and on-line applications;Boldrini;J. Infrared Spectrosc.,2012

3. Application of hyperspectral imaging in food safety inspection and control: a review;Feng;Crit. Rev. Food Sci. Nutr.,2012

4. Medical hyperspectral imaging: a review;Lu;J. Biomed. Opt.,2014

5. Assessing fire severity using imaging spectroscopy data from the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) and comparison with multispectral capabilities;Veraverbeke;Remote Sens. Environ.,2014

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Using Mass Spectrometry Imaging to Visualize Pesticide Accumulation and Time-Dependent Distribution in Fungicide-Coated Seeds;Mass Spectrometry;2023-10-12

2. An easy-to-use graphical user interface for mass spectrometry imaging analysis;International Journal of Mass Spectrometry;2023-10

3. Quantitative Mass Spectrometry Imaging Using Multivariate Curve Resolution and Deep Learning: A Case Study;Journal of the American Society for Mass Spectrometry;2023-01-03

4. When a picture is worth a thousand words: Molecular and elemental imaging applied to environmental analysis – A review;Microchemical Journal;2021-10

5. Multimodal multisample spectroscopic imaging analysis of tumor tissues using multivariate curve resolution;Chemometrics and Intelligent Laboratory Systems;2021-08