scholarly journals Extensive Transcriptome Changes Underlying the Flower Color Intensity Variation in Paeonia ostii

2016 ◽  
Vol 6 ◽  
Author(s):  
Lexuan Gao ◽  
Hongxing Yang ◽  
Hongfeng Liu ◽  
Ji Yang ◽  
Yonghong Hu
Keyword(s):  
Intensity Variation ◽  
Flower Color ◽  
Color Intensity

scholarly journals The Efficiency of Color Space Channels to Quantify Color and Color Intensity Change in Liquids, pH Strips, and Lateral Flow Assays with Smartphones

Sensors ◽  
2019 ◽  
Vol 19 (23) ◽  
pp. 5104 ◽  
Author(s):  
Nelis ◽  
Bura ◽  
Zhao ◽  
Burkin ◽  
Rafferty ◽  
...  
Keyword(s):  
Color Space ◽  
Intensity Variation ◽  
Lateral Flow ◽  
Background Correction ◽  
Intensity Change ◽  
Prediction Errors ◽  
End User ◽  
Color Intensity ◽  
Soil Extracts ◽  
Lateral Flow Assays

Bottom-up, end-user based feed, and food analysis through smartphone quantification of lateral flow assays (LFA) has the potential to cause a paradigm shift in testing capabilities. However, most developed devices do not test the presence of and implications of inter-phone variation. Much discussion remains regarding optimum color space for smartphone colorimetric analyses and, an in-depth comparison of color space performance is missing. Moreover, a light-shielding box is often used to avoid variations caused by background illumination while the use of such a bulky add-on may be avoidable through image background correction. Here, quantification performance of individual channels of RGB, HSV, and LAB color space and ΔRGB was determined for color and color intensity variation using pH strips, filter paper with dropped nanoparticles, and colored solutions. LAB and HSV color space channels never outperformed the best RGB channels in any test. Background correction avoided measurement variation if no direct sunlight was used and functioned more efficiently outside a light-shielding box (prediction errors < 5%/35% for color/color intensity change). The system was validated using various phones for quantification of major allergens (i.e., gluten in buffer, bovine milk in goat milk and goat cheese), and, pH in soil extracts with commercial pH strips and LFA. Inter-phone variation was significant for LFA quantification but low using pH strips (prediction errors < 10% for all six phones compared). Thus, assays based on color change hold the strongest promise for end-user adapted smartphone diagnostics.

scholarly journals Supplemental Material: Annually resolved sediments in the classic Clarkia lacustrine deposits (Idaho, USA) during the middle Miocene Climate Optimum

2021 ◽  
Author(s):  
Daianne Höfig ◽  
Yi Ge Zhang ◽  
et al.
Keyword(s):  
Middle Miocene ◽  
Intensity Variation ◽  
Color Intensity ◽  
Elemental Ratios ◽  
Lacustrine Deposits ◽  
Data Files

Detailed methodology, supplemental figures, and separate data files containing raw U-Pb zircon data, μ-XRF elemental ratios, and color intensity variation.

scholarly journals Supplemental Material: Annually resolved sediments in the classic Clarkia lacustrine deposits (Idaho, USA) during the middle Miocene Climate Optimum

2021 ◽  
Author(s):  
Daianne Höfig ◽  
Yi Ge Zhang ◽  
et al.
Keyword(s):  
Middle Miocene ◽  
Intensity Variation ◽  
Color Intensity ◽  
Elemental Ratios ◽  
Lacustrine Deposits ◽  
Data Files

Detailed methodology, supplemental figures, and separate data files containing raw U-Pb zircon data, μ-XRF elemental ratios, and color intensity variation.

scholarly journals Correlation of pH and Light Intensity on Flower Color in Potted Eustoma grandiflorum Grise.

HortScience ◽  
1992 ◽  
Vol 27 (7) ◽  
pp. 817-818 ◽  
Author(s):  
R.J. Griesbach
Keyword(s):  
Light Intensity ◽  
Flower Color ◽  
High Light Intensity ◽  
High Light ◽  
Alkaline Ph ◽  
Color Intensity ◽  
Low Light ◽  
Eustoma Grandiflorum ◽  
Growing Cell

The environment can affect the intensity of flower color in Eustoma grandiflorum. Low light and alkaline pH within the growing cell can lead to reduced color intensity. Two independent causes are responsible for the decrease in the intensity of flower color. 1) Older flowers were more alkaline than freshly opened flowers. A 7% increase in pH was related with a 10% reduction in color intensity. 2) Flowers that open under low light were paler than those opening under high light intensity. A 25% decrease in light intensity was related to a 30% reduction in the concentration of anthocyanin and a 40% reduction in color intensity.

scholarly journals Identification of the glutathione S-transferase gene responsible for flower color intensity in carnations

2012 ◽  
Vol 29 (3) ◽  
pp. 223-227 ◽  
Author(s):  
Nobuhiro Sasaki ◽  
Yuzo Nishizaki ◽  
Yasuhiro Uchida ◽  
Eigo Wakamatsu ◽  
Naoyuki Umemoto ◽  
...  
Keyword(s):  
Flower Color ◽  
Color Intensity ◽  
I Gene

scholarly journals A basic helix-loop-helix transcription factor DvIVS determines flower color intensity in cyanic dahlia cultivars

Planta ◽  
2013 ◽  
Vol 238 (2) ◽  
pp. 331-343 ◽  
Author(s):  
Sho Ohno ◽  
Ayumi Deguchi ◽  
Munetaka Hosokawa ◽  
Fumi Tatsuzawa ◽  
Motoaki Doi
Keyword(s):  
Transcription Factor ◽  
Flower Color ◽  
Color Intensity ◽  
Basic Helix Loop Helix ◽  
Helix Loop Helix

scholarly journals EPID-20. NOVEL GLIOBLASTOMA POPULATION-BASED HISTOLOGIC STAIN NORMALIZATION

2020 ◽  
Vol 22 (Supplement_2) ◽  
pp. ii82-ii83
Author(s):  
Jose Agraz ◽  
Caleb Grenko ◽  
Angela Viaene ◽  
Nasrallah MacLean ◽  
Michael Feldman ◽  
...  
Keyword(s):  
Computational Models ◽  
Intensity Variation ◽  
Population Based ◽  
Color Histogram ◽  
Color Intensity ◽  
Background Density ◽  
Slide Image ◽  
Histopathologic Evaluation ◽  
Percent Contribution ◽  
Classification Management

Abstract Histopathologic evaluation has been an integral part of clinical diagnosis for central nervous system tumors, providing information essential for classification, management, and treatment of the disease. Hematoxylin and eosin (H&E) staining is routinely used in histology, providing detail of tissue morphology, structure, and cellular composition. MOTIVATION: Slide staining is rife with color intensity variations, mainly due to differences in materials and staining protocols among others. These variations introduce inaccuracies in downstream computational analysis and quantification of disease, disabling the generalization of computational models. To overcome these variations, current approaches arbitrarily select a slide within the cohort to normalize all slides of the cohort, leading to non-reproducible results in other cohorts. We develop a population-based whole slide image (WSI) normalization method based on overall region driven stain vectors and color histogram, weighted by corresponding percent contribution to overall slide (PCOS). METHODS: We identified a cohort of 509 H&E stained WSIs with corresponding anatomical annotations from the Ivy Glioblastoma Atlas Project. These WSIs and annotations were reviewed by two neuropathologists for correctly annotated regions. Each region was weighted according to PCOS, WSIs with PCOS &lt; 0.05% were discarded. Then, the optical densities and histograms calculated. Resulting color histogram and optical density was applied to the WSI cohort. Finally, stain intensity variability pre- and post- normalization was compared. RESULTS: Normalizing WSIs based on our approach, results in a significant (p &lt; 0.01, Wilcoxon) improvement in color intensity variation for eight of nine regions tested, with the exception of “Pseudopalisading Cells with no visible Necrosis” (p = 0.8). DISCUSSION: This novel transformative technique is insensitive to artificially staining background density and straightforward to apply. Furthermore, the approach shows promise towards a viable and robust tool for stain normalization in large WSIs cohorts, with the potential towards a stain normalization standard generalizable to other diseases.

scholarly journals Extensive transcriptome changes underlying the fruit skin color intensity variation in purple eggplant

2020 ◽  
Author(s):  
Xiaohui Zhou ◽  
Songyu Liu ◽  
Yaping Liu ◽  
Jun Liu ◽  
Yan Yang ◽  
...  
Keyword(s):  
Skin Color ◽  
Molecular Mechanisms ◽  
Developmental Stages ◽  
Intensity Variation ◽  
Enrichment Analysis ◽  
Pathway Enrichment Analysis ◽  
Limited Information ◽  
Economic Traits ◽  
Color Intensity ◽  
Fruit Skin

Abstract Background: Fruit skin color intensity is one of the most important economic traits of purple eggplant. A wide diversity for fruit skin color intensity exists in purple eggplant and the accumulation of anthocyanins and chlorophylls of fruit skin mainly affected color intensity. However, limited information is available contributing to the molecular mechanisms underlying fruit skin color intensity variation in eggplant.Results: In the present study, variation of two purple eggplant advanced lines EP26 and EP28, with different fruit skin color intensity was investigated. Comparative transcriptome analysis of EP26 and EP28 identified a total of 2218 differential expressed genes (DEGs) at two different developmental stages. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis showed that these DEGs were mainly involved in flavonoid biosynthesis and photosynthesis. In addition, a total of 131 transcription factors including MYB , bHLH , WRKY , and NAC exhibited dynamic changes, which might be responsible for the variation of fruit pigments accumulation between EP26 and EP28.Conclusions: Taken together, these results expand our knowledge of molecular mechanisms underlying fruit skin color intensity variation in purple eggplant, which allowing for improvement of fruit coloration in eggplant breeding.

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