Research on method of LED-induced chlorophyll fluorescence spectrum and image information acquisition

Jiang, Le; Li, Yun; Hua, Dengxin; Tan, Linqiu; Cao, Ning

doi:10.1109/icemi.2011.6037913

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…The source wavelength needed to excite the fluorescence assay lies in the blue region of visible spectrum. Hence, the image acquisition hardware of this system needs a UV transilluminator or Dark reader transilluminator or blue light emitting diode (LED) [10] as a source. The three-lens system used here is to bring the actual size of the object, here the microtiter plate, to the image size of the object in the image.…”

Section: Image Acquisition and Segmentationmentioning

confidence: 99%

An Image Based Microtiter Plate Reader System for 96-well Format Fluorescence Assays

P¹,

Sankaran²,

Muttan³

2013

ejbi

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Background: 96-well microtiter plate assay are becoming popular analytical procedures in laboratory and clinical practices generating a demand for microtiter plate readers. The present colorimetric and fluorimetric based microtiter plate reader are efficient in general applications such as measuring reflectance, absorbance, and optical density of reaction mixtures. However, a dedicated system incorporating automation and computational techniques in specific microtiter plate readers for Drug discovery and Microbial viability, provides portability and compatibility with highthroughput analysis at affordable cost. Objective: To develop image-based reader system for semi-quantitative measurements of transport assay performed in microtiter plate. In this work, we focus on deduction of illumination source and classification of fluorescence emitted by transport assay using this microtiter plate reader. Method: We have taken the images of 96-well fluorescence efflux assay and developed an appropriate image analysis system to read the individual well images and categorize the results as fast efflux and slow efflux by the classifier. The images exhibited non-uniform illumination due to UV transilluminator, which then replaced by the circuit of blue LED after performing a study on its classification performance.

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Section: Image Acquisition and Segmentationmentioning

confidence: 99%

An Image Based Microtiter Plate Reader System for 96-well Format Fluorescence Assays

P¹,

Sankaran²,

Muttan³

2013

ejbi

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“…Eutrophication is a major environmental problem of rivers and lakes in China, which has an important effect on the growth of phytoplankton such as algae. Chlorophyll-a, a photosynthetic pigment of phytoplankton such as algae, is one of the important monitoring indexes of phytoplankton biomass in water, which is widely used to evaluate water quality and eutrophication of rivers and lakes [1][2][3][4][5][6] . At present, the main methods for the determination of chlorophyll a are Spectrophotometer, High-performance liquid chromatography and fluorescence detection.…”

Section: Introductionmentioning

confidence: 99%

Measurement of chlorophyll in water based on Y-type fiber

Che,

Huang,

dong

et al. 2024

Sixth Conference on Frontiers in Optical Imaging and Technology: Novel Detector Technologies

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In this paper, a novel chlorophyll measurement system based on Y-type fiber is designed, and the chlorophyll value is obtained according to the intensity ratio of laser fluorescence-Raman signal produced by laser incident into water. In the system, a 405nm semiconductor laser is used as the light source. The laser is coupled into the delivering port of Y-type fiber and then transmitted into water. The generated scattered light, water Raman light and corresponding fluorescence are received and transmitted into spectrometer through the detecting port of Y-type fiber, and the chlorophyll can be obtained by analyzing the laser fluorescence-Raman ratio of water spectra. In experiment, we detect the chlorophyll standard solutions under a range of concentrations, and establish the correlation between chlorophyll concentration and fluorescence-Raman ratio (r2=0.98). In addition, the chlorophyll of natural water sample is measured with laser spectroscopy, the results of which are consistent with chlorophyll values obtained by traditional spectrophotometry. The experimental results prove that the chlorophyll detection method proposed in this paper has the advantages of high sensitivity, high precision, high detection speed and simplicity, which can be widely used in various water areas for real-time chlorophyll detection.

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Automated Detection of Plant Diseases and Chlorophyl With Image Processing Using Mobile Application

Y.,

D.,

et al. 2024

Ecological Aspects of Soil and Land Preservation

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Green plants are capable of producing their own sustenance. They accomplish this through a process known as photosynthesis, which makes use of a chlorophyll-based green pigment. A pigment is a chemical that has a specific color and, depending on that color, may absorb light at various wavelengths. The chlorophyll of the leaf may be predicted from leaf color, which has the potential to be an excellent indicator of plant health. Chlorophyll a (Chl-a) and Chlorophyll b are the two main types of chlorophyll found in the photosystems of green plants (Chl-b). Each kind has a unique function as well as advantages and a unique chemical composition. So, it is crucial to anticipate the chlorophyll of the takes off as it provides valuable information regarding plant health and edit management. In the proposed work, a non-destructive image processing technique is employed to estimate the chlorophyll content of tomato plants using images of the leaves. The chlorophyll content of the acquired image is predicted using a deep learning (DL) algorithm. Using the camera of an Android smartphone, samples of tomato plant leaves were collected from the field, and the color vegetation indices for all three RGB channels were then abstracted. The Chlorophyll detector, which is aimed at both small- and large-scale farms, has finally been built. For easy deployment, the mobile app combines an image from a smartphone camera with cloud-hosted software.

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Research on method of LED-induced chlorophyll fluorescence spectrum and image information acquisition

Cited by 3 publications

References 7 publications

An Image Based Microtiter Plate Reader System for 96-well Format Fluorescence Assays

An Image Based Microtiter Plate Reader System for 96-well Format Fluorescence Assays

Measurement of chlorophyll in water based on Y-type fiber

Automated Detection of Plant Diseases and Chlorophyl With Image Processing Using Mobile Application

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