Application of Bio-speckle Activity to Assess Seed Viability

Men, Sen; Yan, Lei; Qian, Hua

doi:10.19026/ajfst.8.1494

Cited by 8 publications

(3 citation statements)

References 18 publications

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“…The biospeckle laser technique has been used to infer information from several biological and non-biological processes, including perfusion imaging [7][8][9], quality evaluation of fruits and vegetables [10][11][12][13], assessment of seed viability [14,15], detection of fungi colony growth [16], assessment of bacteria and parasites [3,4,6], assessment of biological leaves [5], non-biological drying processes [17,18], visualization of self-healing processes in polymers [19], etc.…”

Section: Introductionmentioning

confidence: 99%

Assessment of biological leaf tissue using biospeckle laser imaging technique

Ansari¹,

Mujeeb²,

Nirala³

2018

Laser Phys.

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We report on the application of an optical imaging technique, the biospeckle laser, as a potential tool to assess biological and medicinal plant leaves. The biospeckle laser technique is a non-invasive and non-destructive optical technique used to investigate biological objects. Just after their removal from plants, the torn leaves were used for biospeckle laser imaging. Quantitative evaluation of the biospeckle data using the inertia moment (IM) of the time history speckle pattern, showed that the IM can be utilized to provide a biospeckle signature to the plant leaves. It showed that leaves from different plants can have their own characteristic IM values. We further investigated the infected regions of the leaves that display a relatively lower biospeckle activity than the healthy tissue. It was easy to discriminate between the infected and healthy regions of the leaf tissue. The biospeckle technique can successfully be implemented as a potential tool for the taxonomy of quality leaves. Furthermore, the technique can help boost the quality of ayurvedic medicines.

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Section: Introductionmentioning

confidence: 99%

Assessment of biological leaf tissue using biospeckle laser imaging technique

Ansari¹,

Mujeeb²,

Nirala³

2018

Laser Phys.

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“…So, it is very important to detect this type of fungal disease and sort out the infected ones after harvest to ensure the quality of apple fruit. Laser biospeckle technique is a non-destructive, non-invasive and non-contact technique [4] that has been applied in both biological and non-biological fields like determining monitoring the quality of fruits and vegetables [4][5][6], the bioactivity of seed [7], paint drying process [8], blood flow detection of human body parts [9,10] etc.…”

Section: Introductionmentioning

confidence: 99%

Assessment of black rot development on apple surface using laser biospeckle technique

Koley¹,

Das²,

Nirala³

2023

Phys. Scr.

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In our present study, the laser biospeckle technique has been applied to monitor the spread of black rot fungal disease and evaluate the infected area on apple surface for the first time to the best of our knowledge. Image processing algorithms such as inertia moment (IM), absolute value of differences (AVD) and spatial-temporal speckle correlation show the reduction of biospeckle activity of the black rot infected apples in comparison to that of the healthy apples with increase in time, once the visible symptom of the disease sets in. Spectral activity maps obtained using Fujii, inverse Fujii and parameterized Fujii show the spread of this infection with the progression of day. Under exposition test and histogram plot have been used to evaluate the increase of darkness of the infected apple with the progression of day and the results have come out as a replica of the change of colour of the region of interest. % biospeckle activity loss on the final day of the experiment has been found to be 17.83 % and 11.91 % for healthy apples & 92.42 % and 78.63 % for infected apples using IM and AVD respectively. An increase in the infected area and % increase in infected area of the region of interest on the image plane has been determined to be 0.33 mm2 and 58.57 % respectively on the final day of the experiment.

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“…The laser biospeckle technique [1], as a non-invasive, nondestructive tool, has already been used to conduct different studies related to different fields [2][3][4][5]. This technique has also been widely used to study different parts of plants including leaves [6,7].…”

Section: Introductionmentioning

confidence: 99%

Visual biospeckle analysis of just torn plant leaf using frequency filtering

Koley¹,

Nirala²

2022

Laser Phys.

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Biospeckle activity in leaves arise due to the contribution of several phenomena like water content, respiration, transpiration etc. Our present research work deals with the biospeckle activity of a plant leaf using the laser biospeckle technique and wavelet transform just after removal from the plant, to isolate physiological activities like respiration, transpiration etc over water activity for the first time to the best of our knowledge. Visual analyses of biospeckle activities of Mangifera indica and Tabernaemontana divaricata leaves have been done with the help of spectral activity maps obtained using fujii and parameterized geometrical mean of temporal difference algorithms. Mid-vein and other veins are mainly responsible for water transportation whereas different physiological activities occur in both veins and lamina parts of the leaf. As the biospeckle activity due to high water content suppresses the activity due to other physiological phenomena of the leaf, the spectral activity map without any frequency filtering shows the higher activity of the mid-vein than that of the lamina part of the leaf. It has already been established by researchers that the exclusion of lower frequency bands represents physiological activities of biological samples. Spectral activity maps considering the individual frequency bands starting from 13 and 12 onwards in the case of M. indica and T. divaricata leaves are able to represent the physiological phenomena of the leaves respectively. In comparison to the results obtained considering the individual frequency bands, the results obtained by removing the frequency band groups 1–12 (6.25–3.25 Hz frequency range) for M. indica leaf and 1–11 (6.25–3.50 Hz frequency range) for T. divaricata leaf clearly represent the physiological activities over the water activity of those leaves respectively. Also, biospeckle activities using the individual frequency bands along with the exclusion of band groups 13–25 (3.25–0.00 Hz frequency range) and 12–25 (3.50–0.00 Hz frequency range) represent the water activity of the above two leaves respectively.

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Application of Bio-speckle Activity to Assess Seed Viability

Cited by 8 publications

References 18 publications

Assessment of biological leaf tissue using biospeckle laser imaging technique

Assessment of biological leaf tissue using biospeckle laser imaging technique

Assessment of black rot development on apple surface using laser biospeckle technique

Visual biospeckle analysis of just torn plant leaf using frequency filtering

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