A Retrofitted Metallurgical Microscope Using Light Emitting Diodes for Multi-Spectral Imaging

Opoku-Ansah, Jerry; Anderson, Benjamin; Eghan, Moses Jojo; Adueming, Peter Osei-Wusu; Amuah, Charles Lloyd Yeboah; Sackey, Samuel Sonko

doi:10.5539/mas.v11n9p30

Cited by 3 publications

(2 citation statements)

References 13 publications

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“…Using a multispectral light-emitting diode imaging (MSLEDI) microscope, described somewhere else [47], multispectral images of iblood smears and u-blood smears were acquired in reflection, scattering, and transmission modes. For each slide of blood smear and for each mode, 13 images were acquired using 13 different LED sources.…”

Section: Multispectral Image Acquisitionsmentioning

confidence: 99%

Optical Identification of Plasmodium falciparum Malarial Byproduct for Parasite Density Estimation

Opoku-Ansah

Eghan

Anderson

et al. 2019

International Journal of Optics

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Plasmodium falciparum (P. falciparum) malarial degree of infection, termed as parasite density (PD), estimation is vital for point-of-care diagnosis and treatment of the disease. In this work, we present application of optical techniques: optical absorption and multispectral imaging for P. falciparum malarial byproduct (hemozoin) detection in human‐infected blood samples to estimate PD. The blood samples were collected from volunteers who were tested positive for P. falciparum infections (i-blood), and after treatment, another set of blood samples (u-blood) were also taken. The i-blood samples were grouped based on PD (+, ++, +++, and ++++). Optical densities (ODs) of u-blood samples and i-blood samples at blood absorption bands of 405 nm, 541 nm, and 577 nm showed different optical absorption characteristics. Empirical computation of ratio of the ODs for the blood absorption bands revealed reduction in the ODs with increasing PD. Multispectral images containing uninfected red blood cells (u-RBCs) and P. falciparum‐infected red blood cells (i-RBCs) on unstained blood smear slides exhibited spectrally determined decrease in both reflected and scattered pixel intensities and increase in transmitted pixel intensities with increasing PD. We further propose a linear classification model based on Fisher’s approach using reflected, scattered, and transmitted pixel intensities for easy and inexpensive estimation of PD as an alternative to manual estimation of PD, currently, the widely used technique. Application of the optical techniques and the proposed linear classification model are therefore recommended for improved malaria diagnosis and therapy.

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Section: Multispectral Image Acquisitionsmentioning

confidence: 99%

Optical Identification of Plasmodium falciparum Malarial Byproduct for Parasite Density Estimation

Opoku-Ansah

Eghan

Anderson

et al. 2019

International Journal of Optics

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“…[1][2][3][4][5][6][7][8][9] Especially using UV light, it is possible to visualize chemical substances which are harmful to the human body. 10) As spectroscopic methods, on-chip band-pass filters, 11) filter wheels, 1) liquid crystal tunable filters, [12][13] a time-sharing illumination of LEDs, 10,[14][15] etc. have been reported.…”

Section: Introductionmentioning

confidence: 99%

A CMOS image sensor with dual pixel reset voltage for high accuracy ultraviolet light absorption spectral imaging

Aoyagi¹,

Fujihara²,

Murata³

et al. 2019

Jpn. J. Appl. Phys.

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In this paper, we report a CMOS image sensor (CIS) with dual pixel reset voltage and high sensitivity to ultraviolet (UV) light for high SNR UV light absorption spectral imaging. The dual pixel reset voltage was introduced in order to improve the accuracy of absorption imaging by suppressing the fixed pattern noise due to the threshold voltage (Vth) variation. The developed CIS exhibited 71 dB SNR, 15 Me− full well capacity and high quantum efficiency to UV light. As an application of the developed CIS, the diffusion of sub-ppm concentration ozonated water into ultrapure water (UPW) was successfully visualized under the 254 nm light waveband.

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[Papers] A Multi Spectral Imaging System with a 71dB SNR 190-1100 nm CMOS Image Sensor and an Electrically Tunable Multi Bandpass Filter

Fujihara

Wako

Sugawa

et al. 2018

MTA

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Here, C is concentration [mol/m 3 ], α is absorption coefficient [m 2 /mol], L is optical path length [m], I 0 is incident light intensity, I 1 is transmitted light intensity and A λ is absorbance, respectively. Measurement accuracy of absorption analysis is in general determined by the detection accuracy of microscopic change of light intensity under strong light irradiation, where the SNR is given by the equation (2),

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A Retrofitted Metallurgical Microscope Using Light Emitting Diodes for Multi-Spectral Imaging

Cited by 3 publications

References 13 publications

Optical Identification of Plasmodium falciparum Malarial Byproduct for Parasite Density Estimation

Optical Identification of Plasmodium falciparum Malarial Byproduct for Parasite Density Estimation

A CMOS image sensor with dual pixel reset voltage for high accuracy ultraviolet light absorption spectral imaging

[Papers] A Multi Spectral Imaging System with a 71dB SNR 190-1100 nm CMOS Image Sensor and an Electrically Tunable Multi Bandpass Filter

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