Imaging of the Blue, Green, and Red Fluorescence Emission of Plants: An Overview

Buschmann, Claus; Langsdorf, Gabriele; Lichtenthaler, H. K.

doi:10.1023/a:1012440903014

Cited by 226 publications

(131 citation statements)

References 74 publications

Supporting

Mentioning

121

Contrasting

Unclassified

Order By: Relevance

“…2b, the fluorescence emission spectrum of green apple was characterized by three bands with maxima at 685 nm (red) and two shoulders around 440 nm (blue) and 520 nm (green) [24]. The red fluorescence is emitted by the chlorophylls, whereas the blue and green fluorescence is emitted by cinnamic acids (with ferulic acid as major substance) and other phenolics covalently bound to the cell walls [24]. As the fluorescence signal is relative weak, only the image captured at 685 nm, corresponding to the maximum emission wavelength of chlorophyll, was investigated in this study.…”

Section: Resultsmentioning

confidence: 99%

“…Recently, Ariana et al [23] have demonstrated that integrating the reflectance and fluorescence multispectral imaging modes is a useful tool for apple disorder classification. Thus, fluorescence imaging could be a suitable technique quality control by automated inspection and sorting as well as remote sensing in agriculture, horticulture, forestry and environmental analysis [24].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Combining multispectral reflectance and fluorescence imaging for identifying bruises and stem-end/calyx regions on Golden Delicious apples

Xing

Karoui²,

Baerdemaeker

2007

Sens. & Instrumen. Food Qual.

View full text Add to dashboard Cite

As a part of the project for detecting bruises on Golden Delicious apple using vision system, the present paper shows a method that could separate the stem-end/ calyx regions from the true bruises by combining the information of hyperspectral reflectance and fluorescence images. The images were scanned between 400 nm and 1,000 nm with a hyperspectral imaging system. Different light sources were constructed for capturing the reflectance and fluorescent images. Compared to the reflectance signal, the fluorescence signatures are much less intense, so that only the fluorescence of chlorophyll waveband was further examined (i.e., 685 nm). The analysis showed that the Principal Components scores images, which were based on the reflectance images, can be used for separating the bruised areas as well as the stem-end/calyx regions from the sound apple tissues; whereas only the stem-end/calyx was able to be recognized from the fluorescence images. For the samples investigated in this study, no stem-end/ calyx regions were misrecognized as bruises; however, about 12% of bruised surfaces were misclassified as stem-end or calyx regions. All of the healthy tissues were correctly recognized as non-stem-end/calyx regions. The classification results indicated that combining multispectral reflectance and fluorescence imaging may help to identify the stem-end/calyx regions from the true bruised tissue and therefore to improve the accuracy for bruise detection on Golden Delicious apples.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Combining multispectral reflectance and fluorescence imaging for identifying bruises and stem-end/calyx regions on Golden Delicious apples

Xing

Karoui²,

Baerdemaeker

2007

Sens. & Instrumen. Food Qual.

View full text Add to dashboard Cite

show abstract

“…Figure 9 shows that the Mah ı samples are darker under UV. The observed fluorescence of Mah ı can be attributed to the presence of natural multicomponent fluorescent systems such as phenolic compounds and chlorophylls [70,71]. The observed fluorescence of Mah ı can be attributed to the presence of natural multicomponent fluorescent systems such as phenolic compounds and chlorophylls [70,71].…”

Section: M1amentioning

confidence: 94%

A physicochemical characterisation of a medieval herbal ink, Mahī, of Assam, India

Goswami

Chamuah

Dutta

2018

Coloration Technology

View full text Add to dashboard Cite

Mah ı, a unique herbal ink used in medieval Assam in India for writing and illustrating manuscripts, is known for its intense colour and durability for centuries, and its non-corrosive nature. Mah ı is distinctly different from the other contemporary inks used elsewhere in the world, including other parts of India. The interesting features of Mah ı are due to its special recipe involving several herbal ingredients in addition to iron sourced from fish blood or the rust of iron tools, with cow urine as an extractant and solvent. The objective of the current study is an in-depth understanding of the traditional method of the preparation of Mah ı, and its characterisation through analysis of the physicochemical properties using spectroscopic and imaging techniques as well as biochemical analysis. A series of model Mah ı samples are prepared following the traditional method with varying ingredients, and their compositions and physicochemical properties are evaluated with respect to the ingredients using standard methods and analytical tools including atomic absorption spectroscopy, tensiometry, ultraviolet ( UV )-visible, Fourier Transform-infrared ( FT-IR), Raman, steady-state fluorescence, UV fluorescence and emission microscopy. The colour of the ink has been attributed to various polyphenols, gallic acid, epigallocatechin gallate, epicatechin, quercetin, kaempferol and tannic acid, and their iron complexes. UV fluorescence and emission microscopy confirmed an autofluorescence indicative of the presence of phenolic and chlorophyll pigments. Solubilisation by glycosidic biosurfactant contributes to stabilisation of Mah ı. The non-corrosive nature of Mah ı has been attributed to its neutral pH and absence of free iron and copper ions.

show abstract

“…Therefore, the observed intensity of fluorescence at 690 nm is dependent on the chl concentration. Furthermore, the far-red emission is apparently less responsive than the red emission to the state of the electron transport mechanisms at normal physiological temperatures Agati et al 1995;Govindjee 1995;Buschmann and Lichtenthaler 1998;Buschmann, Langsdorf, and Lichtenthaler 2000). Several studies have shown chl fluorescence as an index of plant physiology, since it is directly related to the plant photosynthesis (Rascher et al 2009;Chaerle and van der Straeten 2001).…”

Section: Detection Of Mosaic Virus Disease In Cassava Plants By Sunlimentioning

confidence: 99%

Detection of mosaic virus disease in cassava plants by sunlight-induced fluorescence imaging: a pilot study for proximal sensing

Raji

Subhash

Ravi

et al. 2015

International Journal of Remote Sensing

View full text Add to dashboard Cite

Cassava mosaic disease (CMD) is a prominent virus infection that causes considerable crop damage and yield reduction. Early detection of crop damage by remote sensing could be a useful tool for initiating remedial measures to reduce further crop damage. This article presents a non-destructive method for detection and classification of CMD infection, based on the red:far-red chlorophyll (chl) fluorescence image ratio. This pilot study was carried out in 14 varieties of potted cassava plants (Manihot esculenta Crantz) with a multispectral imaging system (MSIS) consisting of an electron multiplying charge coupled device (EMCCD) camera. Sunlight-induced chl fluorescence (SICF) images of plant leaves were recorded using the MSIS at the Fraunhofer lines of O 2 -B at 687 nm and O 2 -A at 759.5 nm and their off-lines at 684 and 757.5 nm. The recorded images were analysed using the Fraunhofer line discrimination (FLD) technique to extract the SICF from the solar reflectance in the recorded images. The chl fluorescence image ratio (red:far-red, F 687 :F 760 ) was computed and correlated with the laser-induced chl fluorescence (LICF) ratio (F 685 :F 735 ) determined by point monitoring, chl content variation, and the net photosynthetic rate (P n ). The scatter plot of the F 687 :F 760 image ratio showed good discrimination between different levels of CMD infection as evidenced by the high sensitivity and specificity values. It is observed that the fluorescence image ratio (F 687 : F 760 ) has a good correlation with P n (coefficient of determination (R 2 ) = 0.85), chl content (R 2 = 0.82), and the LICF ratio (F 685 :F 735 ) (R 2 = 0.80), thereby highlighting the potential of the SICF image ratio in the discrimination of CMD infection. The results clearly indicate that changes in the red:far-red fluorescence image ratio due to CMD stress can easily be detected at an early stage and the technique has great potential for monitoring the health of crops and vegetation from proximal sensing platforms.

show abstract

Imaging of the Blue, Green, and Red Fluorescence Emission of Plants: An Overview

Cited by 226 publications

References 74 publications

Combining multispectral reflectance and fluorescence imaging for identifying bruises and stem-end/calyx regions on Golden Delicious apples

Combining multispectral reflectance and fluorescence imaging for identifying bruises and stem-end/calyx regions on Golden Delicious apples

A physicochemical characterisation of a medieval herbal ink, Mahī, of Assam, India

Detection of mosaic virus disease in cassava plants by sunlight-induced fluorescence imaging: a pilot study for proximal sensing

Contact Info

Product

Resources

About