Nonspectroscopic imaging for quantitative chlorophyll sensing

Kim, Tae-Hoon; Kim, Jeong-Im; Visbal-Onufrak, Michelle A.; Chapple, Clint; Kim, Young L.

doi:10.1117/1.jbo.21.1.016008

Cited by 14 publications

(13 citation statements)

References 25 publications

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“…This approach of spectral reconstruction from RGB data could potentially offer simple instrumentation and operation, using the currently available smartphone technologies. 21,35,36 In this respect, we performed numerical experiments to test the feasibility that a blood Hgb level can be sensitively and accurately predicted using a three-color sensor-based system in a similar manner of our previous study. 21 First, RGB signals were acquired from measured reflectance spectra data.…”

Section: Full Spectral Reconstruction From Rgbmentioning

confidence: 99%

“…21,35,36 As the first step for realizing blood Hgb testcomparable photometric anemia detection superior to the conventional color chart methods (e.g., FAMACHA), we investigated spectral reconstruction from RGB data that are commonly acquired from conventional cameras. This approach of spectral reconstruction from RGB data could potentially offer simple instrumentation and operation, using the currently available smartphone technologies.…”

Section: Full Spectral Reconstruction From Rgbmentioning

confidence: 99%

“…[14][15][16][17][18][19] For accurate and precise Hgb measurements, typical spectroscopic technologies heavily rely on the use of spectrometers, spectrographs, and liquid tunable crystal filters. 20,21 However, these critical optical components for highly accurate and sensitive Hgb measurements significantly limit the development of compact, portable, and cost-effective devices. For example, such spectroscopic measurements would not be ideal for developing compact and economical photometric anemia detection that could potentially be integrated into smartphones.…”

Section: Introductionmentioning

confidence: 99%

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Toward laboratory blood test-comparable photometric assessments for anemia in veterinary hematology

et al. 2016

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Abstract. Anemia associated with intestinal parasites and malnutrition is the leading cause of morbidity and mortality in small ruminants worldwide. Qualitative scoring of conjunctival redness has been developed so that farmers can gauge anemia in sheep and goats to identify animals that require treatment. For clinically relevant anemia diagnosis, complete blood count-comparable quantitative methods often rely on complicated and expensive optical instruments, requiring detailed spectral information of hemoglobin. We report experimental and numerical results for simple, yet reliable, noninvasive hemoglobin detection that can be correlated with laboratory-based blood hemoglobin testing for anemia diagnosis. In our pilot animal study using calves, we exploit the third eyelid (i.e., palpebral conjunctiva) as an effective sensing site. To further test spectrometerfree (or spectrometerless) hemoglobin assessments, we implement full spectral reconstruction from RGB data and partial least square regression. The unique combination of RGB-based spectral reconstruction and partial least square regression could potentially offer uncomplicated instrumentation and avoid the use of a spectrometer, which is vital for realizing a compact and inexpensive hematology device for quantitative anemia detection in the farm field.

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Section: Full Spectral Reconstruction From Rgbmentioning

confidence: 99%

Section: Full Spectral Reconstruction From Rgbmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Toward laboratory blood test-comparable photometric assessments for anemia in veterinary hematology

et al. 2016

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“…Using this simpler technique, spectral information could be extracted from RGB data in color images. 11 With this in mind, we propose to reconstruct multispectral information from red green blue (RGB) images acquired by a color CMOS camera 19 . The 3-color CMOS allows us to acquire a simplified data set of (x, y, and wavelength λ) for spectral analyses to analyze tissue absorption from changes in hemoglobin content as well as extract tissue scattering signals owing to changes in the tissue microenvironment or extracellular matrix.…”

Section: Motivationmentioning

confidence: 99%

“…Recently, we have proven the advantages of using telecentric lens for imaging through highly scattering media such as biological tissue. 10,11 In this respect, we introduce that a telecentric lens can provide a simple mesoscopic (between microscopic and macroscopic) imaging platform for removing diffuse light in tissue imaging.…”

Section: Introductionmentioning

confidence: 99%

Large area, label-free imaging of extracellular matrix using telecentricity

Visbal-Onufrak

Konger

Kim

2017

Optical Biopsy XV: Toward Real-Time Spectroscopic Imaging and Diagnosis

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Subtle alterations in stromal tissue structures and organizations within the extracellular matrix (ECM) have been observed in several types of tissue abnormalities, including early skin cancer and wounds. Current microscopic imaging methods often lack the ability to accurately determine the extent of malignancy over a large area, due to their limited field of view. In this research we focus on the development of simple mesoscopic (i.e. between microscopic and macroscopic) biomedical imaging device for non-invasive assessment of ECM alterations over a large, heterogeneous area. In our technology development, a telecentric lens, commonly used in machine vision systems but rarely used in biomedical imaging, serves as a key platform to visualize alterations in tissue microenvironments in a label-free manner over a clinically relevant area. In general, telecentric imaging represents a simple, alternative method for reducing unwanted scattering or diffuse light caused by the highly anisotropic scattering properties of biological tissue. In particular, under telecentric imaging the light intensity backscattered from biological tissue is mainly sensitive to the scattering anisotropy factor, possibly associated with the ECM. We demonstrate the inherent advantages of combining telecentric lens systems with hyperspectral imaging for providing optical information of tissue scattering in biological tissue of murine models, as well as light absorption of hemoglobin in blood vessel tissue phantoms. Thus, we envision that telecentric imaging could potentially serve for simple site-specific, tissue-based assessment of stromal alterations over a clinically relevant field of view in a label-free manner, for studying diseases associated with disruption of homeostasis in ECM.

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Development of a user‐friendly automatic ground‐based imaging platform for precise estimation of plant phenotypes in field crops

Gatkal,

Dhar,

Prasad

et al. 2023

Journal of Field Robotics

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Plant phenotyping is the science to quantify the quality, photosynthesis, development, growth, and biomass productivity of different crop plants. In the past, plant phenotyping employed methods such as grid count and regression models. However, the grid count method proved to be labor‐intensive and time‐consuming, while the regression model lacked accuracy in calculating leaf area. To address these challenges, a portable automatic platform was developed for precise ground‐based imaging of field plots. This platform consisted of a frame, an RGB camera, a stepper motor, a control board, and a battery. The RGB camera captured images, which were then processed using MATLAB software. Statistical analysis was performed to compare the results obtained from the grid count, regression model, and image processing techniques. The correlation coefficient (r) between the image processing technique and the regression model for sunflower was found to be 0.98 and 0.97, respectively, whereas for kidney bean it was 0.99 and 0.96, respectively. The minimum and maximum values for leaf area density (LAD) of all selected sunflower leaves were determined to be 0.132 and 0.714 m²/m³, respectively. For kidney bean leaves, the minimum and maximum mean LAD values were found to be 0.081 and 0.239 m²/m³, respectively. Ergonomic aspects of the developed automatic system were studied. The developed system had lower physiological parameters, such as working heart rate of 99 beats/min, work pulse of 18 beats/min, oxygen consumption of 786 mL/min, and energy consumption of 11.5 kJ/min compared to the grid count method. Thus, developed automatic ground‐based imaging system would significantly reduce physiological workload and associated hazards. Therefore, the developed method proved satisfactory in comparison to other techniques, offering a quick, efficient, and user‐friendly approach for determining plant phenotypes.

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Nonspectroscopic imaging for quantitative chlorophyll sensing

Cited by 14 publications

References 25 publications

Toward laboratory blood test-comparable photometric assessments for anemia in veterinary hematology

Toward laboratory blood test-comparable photometric assessments for anemia in veterinary hematology

Large area, label-free imaging of extracellular matrix using telecentricity

Development of a user‐friendly automatic ground‐based imaging platform for precise estimation of plant phenotypes in field crops

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