Color calibration and fusion of lens-free and mobile-phone microscopy images for high-resolution and accurate color reproduction

Zhang, Hongjie; Wu, Yichen; Zhang, Yun; Ozcan, Aydogan

doi:10.1038/srep27811

Cited by 39 publications

(22 citation statements)

References 43 publications

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“…In earlier studies, specimens were examined by light microscope and 40 was the maximum magnification (Senanayake et al 2020a). Lenses of light microscopes were calibrated manually (Zhang et al 2016). One unit of the ocular micrometer disc is needed to calibrate against a known length and measurements were subjective from person to person.…”

Section: Incomplete Descriptions Of Earlier Described Speciesmentioning

confidence: 99%

Predicting global numbers of teleomorphic ascomycetes

et al. 2022

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Sexual reproduction is the basic way to form high genetic diversity and it is beneficial in evolution and speciation of fungi. The global diversity of teleomorphic species in Ascomycota has not been estimated. This paper estimates the species number for sexual ascomycetes based on five different estimation approaches, viz. by numbers of described fungi, by fungus:substrate ratio, by ecological distribution, by meta-DNA barcoding or culture-independent studies and by previous estimates of species in Ascomycota. The assumptions were made with the currently most accepted, “2.2–3.8 million” species estimate and results of previous studies concluding that 90% of the described ascomycetes reproduce sexually. The Catalogue of Life, Species Fungorum and published research were used for data procurement. The average value of teleomorphic species in Ascomycota from all methods is 1.86 million, ranging from 1.37 to 2.56 million. However, only around 83,000 teleomorphic species have been described in Ascomycota and deposited in data repositories. The ratio between described teleomorphic ascomycetes to predicted teleomorphic ascomycetes is 1:22. Therefore, where are the undiscovered teleomorphic ascomycetes? The undescribed species are no doubt to be found in biodiversity hot spots, poorly-studied areas and species complexes. Other poorly studied niches include extremophiles, lichenicolous fungi, human pathogens, marine fungi, and fungicolous fungi. Undescribed species are present in unexamined collections in specimen repositories or incompletely described earlier species. Nomenclatural issues, such as the use of separate names for teleomorph and anamorphs, synonyms, conspecific names, illegitimate and invalid names also affect the number of described species. Interspecies introgression results in new species, while species numbers are reduced by extinctions.

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Section: Incomplete Descriptions Of Earlier Described Speciesmentioning

confidence: 99%

Predicting global numbers of teleomorphic ascomycetes

et al. 2022

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“…A linear image conserves the relation between the intensity value and the number of photons which maintains the linearity with scene radiance. This linearity is required for quantitative scientific data acquisition in many applications [6,30,36,37,54]. As a linear image, the RAW format is therefore generally chosen.…”

Section: Image Acquisition and Processingmentioning

confidence: 99%

From Sophisticated Analysis to Colorimetric Determination: Smartphone Spectrometers and Colorimetry

Kılıç¹,

Horzum²,

Solmaz³

2020

Color Detection

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Smartphone-based spectrometer and colorimetry have been gaining relevance due to the widespread advances of devices with increasing computational power, their relatively low cost and portable designs with user-friendly interfaces, and their compatibility with data acquisition and processing for "lab-on-a-chip" systems. They find applications in interdisciplinary fields, including but not limited to medical science, water monitoring, agriculture, and chemical and biological sensing. However, spectrometer and colorimetry designs are challenging tasks in real-life scenarios as several distinctive issues influence the quantitative evaluation process, such as ambient light conditions and device independence. Several approaches have been proposed to overcome the aforementioned challenges and to enhance the performance of smartphone-based colorimetric analysis. This chapter aims at providing researchers with a state-of-the-art overview of smartphone-based spectrometer and colorimetry, which includes hardware designs with 3D printers and sensors and software designs with image processing algorithms and smartphone applications. In addition, assay preparation to mimic the real-life testing environments and performance metrics for quantitative evaluation of proposed designs are presented with the list of new and future trends in this field.

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“…1 The stitching method and SR method are both used to obtain an HR image for a given area of interest applications for super resolution imaging surfaced, computing ability also improved, leading to several advances in SR taking place in recent years. Emerging applications in other fields include retinal imaging [24], other telepathology [25], and improved smartphone cameras [26]. In the case of smartphones, SR techniques have allowed camera resolution to approach that of traditional cameras such as DSLRs by overcoming current sensor, pixel, aperture, and other hardware limitations.…”

Section: Introductionmentioning

confidence: 99%

Super Resolution Digital Image Correlation (SR-DIC): an Alternative to Image Stitching at High Magnifications

et al. 2021

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Background High-resolution Digital Image Correlation (DIC) measurements have previously been produced by stitching of neighboring images, which often requires short working distances. Separately, the image processing community has developed super resolution (SR) imaging techniques, which improve resolution by combining multiple overlapping images. Objective This work investigates the novel pairing of super resolution with digital image correlation, as an alternative method to produce high-resolution full-field strain measurements. Methods First, an image reconstruction test is performed, comparing the ability of three previously published SR algorithms to replicate a high-resolution image. Second, an applied translation is compared against DIC measurement using both low- and super-resolution images. Third, a ring sample is mechanically deformed and DIC strain measurements from low- and super-resolution images are compared. Results SR measurements show improvements compared to low-resolution images, although they do not perfectly replicate the high-resolution image. SR-DIC demonstrates reduced error and improved confidence in measuring rigid body translation when compared to low resolution alternatives, and it also shows improvement in spatial resolution for strain measurements of ring deformation. Conclusions Super resolution imaging can be effectively paired with Digital Image Correlation, offering improved spatial resolution, reduced error, and increased measurement confidence.

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Color calibration and fusion of lens-free and mobile-phone microscopy images for high-resolution and accurate color reproduction

Cited by 39 publications

References 43 publications

Predicting global numbers of teleomorphic ascomycetes

Predicting global numbers of teleomorphic ascomycetes

From Sophisticated Analysis to Colorimetric Determination: Smartphone Spectrometers and Colorimetry

Super Resolution Digital Image Correlation (SR-DIC): an Alternative to Image Stitching at High Magnifications

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