Literature DB >> 17118970

Multispectral fluorescence and reflectance imaging at the leaf level and its possible applications.

Sándor Lenk1, Laury Chaerle, Erhard E Pfündel, Gabriele Langsdorf, Dik Hagenbeek, Hartmut K Lichtenthaler, Dominique Van Der Straeten, Claus Buschmann.   

Abstract

Images taken at different spectral bands are increasingly used for characterizing plants and their health status. In contrast to conventional point measurements, imaging detects the distribution and quantity of signals and thus improves the interpretation of fluorescence and reflectance signatures. In multispectral fluorescence and reflectance set-ups, images are separately acquired for the fluorescence in the blue, green, red, and far red, as well as for the reflectance in the green and in the near infrared regions. In addition, 'reference' colour images are taken with an RGB (red, green, blue) camera. Examples of imaging for the detection of photosynthetic activity, UV screening caused by UV-absorbing substances, fruit quality, leaf tissue structure, and disease symptoms are introduced. Subsequently, the different instrumentations used for multispectral fluorescence and reflectance imaging of leaves and fruits are discussed. Various types of irradiation and excitation light sources, detectors, and components for image acquisition and image processing are outlined. The acquired images (or image sequences) can be analysed either directly for each spectral range (wherein they were captured) or after calculating ratios of the different spectral bands. This analysis can be carried out for different regions of interest selected manually or (semi)-automatically. Fluorescence and reflectance imaging in different spectral bands represents a promising tool for non-destructive plant monitoring and a 'road' to a broad range of identification tasks.

Mesh:

Year:  2006        PMID: 17118970     DOI: 10.1093/jxb/erl207

Source DB:  PubMed          Journal:  J Exp Bot        ISSN: 0022-0957            Impact factor:   6.992


  15 in total

Review 1.  Indirect suppression of photosynthesis on individual leaves by arthropod herbivory.

Authors:  Paul D Nabity; Jorge A Zavala; Evan H DeLucia
Journal:  Ann Bot       Date:  2008-07-26       Impact factor: 4.357

Review 2.  Frequently asked questions about in vivo chlorophyll fluorescence: practical issues.

Authors:  Hazem M Kalaji; Gert Schansker; Richard J Ladle; Vasilij Goltsev; Karolina Bosa; Suleyman I Allakhverdiev; Marian Brestic; Filippo Bussotti; Angeles Calatayud; Piotr Dąbrowski; Nabil I Elsheery; Lorenzo Ferroni; Lucia Guidi; Sander W Hogewoning; Anjana Jajoo; Amarendra N Misra; Sergio G Nebauer; Simonetta Pancaldi; Consuelo Penella; DorothyBelle Poli; Martina Pollastrini; Zdzislawa B Romanowska-Duda; Beata Rutkowska; João Serôdio; Kancherla Suresh; Wiesław Szulc; Eduardo Tambussi; Marcos Yanniccari; Marek Zivcak
Journal:  Photosynth Res       Date:  2014-08-15       Impact factor: 3.573

3.  Heliotropium thermophilum, an extreme heat tolerant species, promises plants about adaptation to high soil temperature conditions.

Authors:  Kamil Ozturk; Aykut Saglam; Asım Kadioglu
Journal:  Physiol Mol Biol Plants       Date:  2020-02-11

4.  Nanohole-array-based device for 2D snapshot multispectral imaging.

Authors:  Mohamadreza Najiminaini; Fartash Vasefi; Bozena Kaminska; Jeffrey J L Carson
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

5.  Hyperspectral imaging techniques for rapid identification of Arabidopsis mutants with altered leaf pigment status.

Authors:  Osamu Matsuda; Ayako Tanaka; Takao Fujita; Koh Iba
Journal:  Plant Cell Physiol       Date:  2012-04-01       Impact factor: 4.927

6.  Nondestructive and intuitive determination of circadian chlorophyll rhythms in soybean leaves using multispectral imaging.

Authors:  Wen-Juan Pan; Xia Wang; Yong-Ren Deng; Jia-Hang Li; Wei Chen; John Y Chiang; Jian-Bo Yang; Lei Zheng
Journal:  Sci Rep       Date:  2015-06-10       Impact factor: 4.379

Review 7.  A review of imaging techniques for plant phenotyping.

Authors:  Lei Li; Qin Zhang; Danfeng Huang
Journal:  Sensors (Basel)       Date:  2014-10-24       Impact factor: 3.576

8.  Remote sensing and spatial statistical techniques for modelling Ommatissus lybicus (Hemiptera: Tropiduchidae) habitat and population densities.

Authors:  Khalifa M Al-Kindi; Paul Kwan; Nigel R Andrew; Mitchell Welch
Journal:  PeerJ       Date:  2017-08-31       Impact factor: 2.984

9.  Proximal sensing of plant-pathogen interactions in spring barley with three fluorescence techniques.

Authors:  Georg Leufen; Georg Noga; Mauricio Hunsche
Journal:  Sensors (Basel)       Date:  2014-06-24       Impact factor: 3.576

10.  A Method of High Throughput Monitoring Crop Physiology Using Chlorophyll Fluorescence and Multispectral Imaging.

Authors:  Heng Wang; Xiangjie Qian; Lan Zhang; Sailong Xu; Haifeng Li; Xiaojian Xia; Liankui Dai; Liang Xu; Jingquan Yu; Xu Liu
Journal:  Front Plant Sci       Date:  2018-03-28       Impact factor: 5.753

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