Color Card Research Articles

Stool color card use for early detection of biliary atresia

Stool color card use for early detection of biliary atresia

Cognitive and psychiatric outcomes in the GALAXY trial: effect of anaesthesia in deep brain stimulation

BackgroundThis study aims: (1) To compare cognitive and psychiatric outcomes after bilateral awake versus asleep subthalamic nucleus (STN) deep brain stimulation (DBS) surgery for Parkinson’s disease (PD). (2) To explore...

Assessment of Blood Volume in Liposuction Fluids Using Colorimetry.

The possibility of using a color contrast method to evaluate blood loss during liposuction was assessed. A color chart of blood-lipid content associated with different blood volumes was developed. Three color cards with different concentrations of blood were developed based on clinical parameters. The color cards were used to evaluate the volume of blood present in liposuction solutions obtained from 60 clinical liposuction patients. The red blood cell count also was evaluated for each patient. The data obtained using each evaluation method were compared and statistically analyzed to determine the most accurate calculation formula. The red blood cell counts were compared to the color card results. The paired t test results for the calculated values for the 3:1, 2:1, and 1:1 color cards and the red blood cell count values were comparable (44.3 ± 22.1 ml vs. 53.6 ± 25.0 ml, t = 10.5; 45.4 ± 19.0 ml vs. 55.2 ± 20.7 ml, t = 18.1; 41.9 ± 25.6 ml vs. 52.8 ± 28.3 ml, t = 14.0). The P values were < 0.05, and the difference between the two groups was statistically significant. The average standard error of the mean was 0.90, 0.54, and 0.77, respectively. Sixty samples were evaluated in a scatter diagram using the two detection methods. Trend analysis revealed that the two results demonstrated a linear increase (y = 5.6 + 1.1x), R2 = 0.989, indicating that the two inspection methods were highly correlated with only small errors. The colorimetric card protocol developed in this study could quickly, accurately, and conveniently calculate blood volumes in liposuction fluids, which has considerable clinical significance. This journal requires that authors assign a level of evidence to each submission to which Evidence-Based Medicine rankings are applicable. This excludes Review Articles, Book Reviews, and manuscripts that concern Basic Science, Animal Studies, Cadaver Studies, and Experimental Studies. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors http://www.springer.com/00266 .

Logic gate-driven dual-index balanced visualization strategy for tumor metastasis diagnosis

Exfoliated tumor cells are integral to malignant tumors diagnosis. The process of clinical cytology of exfoliation involves several complex steps that require at least two days of preparation. Here, we develop a balanced-etching visual kit based on concentration differences of Glutathione/Glucose (GSH/Glu) to distinguish normal from exfoliated tumor cells rapidly and accurately. The balanced-etching visualization kit can be used to obtain color cards and screen exfoliated tumor cells initially (within 10 min). Furthermore, by utilizing logic gates and machine learning algorithms for RGB extraction of the color card obtained from the kit, accurate screening of exfoliated tumor cells is achieved. Finally, a series of clinical tumor samples, such as urine, pleural fluids, ascites, and gastric fluids, have been validated. With effective experimental methods, accurate disease information, and appropriate therapeutic programs, the novel diagnostic strategy is expected to promote precision medicine.

Parental detection of neonatal jaundice using a low-cost colour card: a multicentre prospective study

BackgroundSince most infants are usually discharged before age 48–72 hours, peak bilirubin levels will almost always occur after discharge. Parents may be the first to observe the onset of jaundice...

Designing for Hope: Biophilic Color Associations and Their Relevance to ClinicalSettings.

To consider one common aspect of biophilic design (BD; i.e., color) and its relationship to an important element of well-being (i.e., hope). BD is multifaceted making the identification of critical design elements difficult. Further complexity is introduced given that practice assumptions stemming from the biophilia hypothesis may be questioned. Consistent with the biophilia hypothesis, the author considers the study's findings from the perspectives of evolutionary psychology and psychobiology. One hundred and fifty four adult participants engaged in one of the three experiments. Using colored test cards, Experiment #1 sought to determine which of four biophilic colors (i.e., red, yellow, green, or blue) evoked the strongest experience of hope. Considering this color alone, Experiment #2 sought to manipulate "color depth." Participants were asked to identify what color depth evoked the strongest experience of hope. Experiment #3 sought to determine if the outcomes of Experiments #1 and #2 were due to a priming effect. All participants were asked about color associations they held. Experiments #1 and #2 demonstrated that yellow at maximal color depth evoked the strongest experience of hope (p < .001). Experiment #3 demonstrated that no priming effect was evident (p < .05). No participant had a strong personal preference for/against yellow. Natural world color associations existed for yellow, green, and blue. Red held emotive associations. These findings clearly associate yellow with hope. From the perspectives of evolutionary psychology and psychobiology this suggests color cues can evoke time-dependent motive states. Implications for practitioners designing spaces of hope within healthcare facilities are considered.

Visual Colorimetric Detection of Edible Oil Freshness for Peroxides Based on Nanocellulose.

Traditional methods for evaluating the edibility of lipids involve the use of organic reagents and complex operations, which limit their routine use. In this study, nanocellulose was prepared from bamboo, and a colorimetric reading strategy based on nanocellulose composite hydrogels was explored to monitor the freshness of edible oils. The hydrogels acted as carriers for peroxide dyes that changed color according to the freshness of the oil, and color information was digitized using UV-vis and RGB analysis. The sensitivity and accuracy of the hydrogel were verified using H2O2, which showed a linear relationship between absorbance and H2O2 content in the range of 0-0.5 and 0.5-11 mmol/kg with R2 of 0.9769 and 0.9899, respectively, while the chromatic parameter showed an exponential relationship with R2 of 0.9626. Surprisingly, the freshness of all seven edible oil samples was correctly identified by the hydrogel, with linear correlation coefficients greater than 0.95 in the UV-vis method and exponential correlation coefficients greater than 0.92 in the RGB method. Additionally, a peroxide value color card was established, with an accuracy rate of 91.67%. This functional hydrogel is expected to be used as a household-type oil freshness indicator to meet the needs of general consumers.

Diagnosis of neonatal hyperbilirubinemia using CNN model along with color card techniques

In the first few days of life, neonatal jaundice is the situation that causes yellow discoloration on the skin of the baby. The severity level of the disease is determined by using a bilirubin meter. It may lead to poor performance due to a lack of severity level identification. The severity level should be resolved by using some techniques or methodology. Therefore, the proposed system is in the method of developing feature fusion techniques and CNN-based severity level detection to enhance the diagnosis of the disease. In this work, first, data are grouped as jaundiced babies and healthy babies. Consider the babies among 24 and 48 hr after birth. It is performed to remove the small hairs and noises from the baby's skin. Fourth, the Feature Fusion Framework to extract and select highly informative features. It includes feature extraction, feature fusion, and feature selection respectively. Feature extraction is carried out by a novel method of Structural Color Grey Coherent Feature (SCGCF) Extraction, feature fusion by a concatenation operation, and feature selection by the enhanced method of Salp Swarm Optimization. Sixth, the CNN model was trained along with color-card techniques to identify their severity level. The performance evaluation of the model provides class 1 and class 2 sensitivity of 0.99 and 0.98, specificity of 0.98 and 0.98, the accuracy of the 0.98 and 0.98, MCC of 0.97 and 0.96, and f-measure of 0.98 and 0.98 respectively.

Growing Degree Day Targets for Fruit Development of Australian Mango Cultivars

A forward estimate of mango (Mangifera indica L.) harvest timing is required for farm management (e.g., for organization of harvest labour and marketing). This forward estimate can be based on accumulated growing degree days (GDD) from an early stage of flowering to fruit harvest maturity, with fruit maturity judged on a destructive assessment of flesh colour and dry matter content. The current study was undertaken to improve GDD targets for Australian mango cultivars, to improve estimation of harvest maturity, and to document a methodology recommended for future work characterizing fruit maturation GDD for other mango cultivars. An alternate algorithm on GDD calculation involving use of a function that penalizes high temperatures as well as low temperatures was demonstrated to better predict harvest maturity in warmer climates. Across multiple locations and seasons, the required heat units (GDD, Tb = 12 °C, TB = 32 °C; where TB is upper base temperature of 32 °C and Tb is lower base temperature of 12 °C) to achieve maturity from asparagus stage of flowering was documented as 2185, 1728, and 1740 for the cultivars Keitt, Calypso and Honey Gold, respectively. GDD difference between the asparagus and two-thirds floral opening stages of flowering was 188 ± 18 for Calypso, 184 ± 12 for Honey Gold, 238 ± 21 for Keitt and 175 ± 10 for KP. Colour specifications for a colour card set suitable for maturity assessment of all cultivars was also proposed. A flesh colour harvest maturity card specification of 9 was proposed for the cultivar Honey Gold and 13 for the cultivar Keitt.

Cost-effectiveness analysis of universal screening for biliary atresia in Japan.

To evaluate the cost-effectiveness of universal newborn screening using stool color card or direct bilirubin (DB) testing when comparing with no screening for biliary atresia in Japanese setting. A decision analytic Markov microsimulation model was developed to evaluate the universal screening for biliary atresia. Our screening strategies included stool color card, DB, or no screening. The outcomes of all newborns undergoing 3 strategies were simulated to analyze event-free life-years defined as liver transplant-free survival, costs, and incremental cost-effectiveness ratio (ICER) over a 25-year period with an annual discount rate of 2% applied for both costs and outcomes. A 1-way sensitivity analysis was performed to assess the uncertainty. There were 941 000 newborn infants in our cohort and 114 cases of biliary atresia. The base case analysis showed that the stool color card strategy was $14 927 337 higher than no screening with an increase in 44 more event-free life-years gained, resulting in an ICER of $339 258 per event-free life-year gained. The DB screening strategy compared with stool color card was $138 994 060 higher with an increase in 271 more event-free life-years gained and an ICER of $512 893 per event-free life-year gained. The DB screening strategy compared with no screening resulted in an ICER of $488 639 per event-free life-year gained. The DB screening resulted in 16 fewer liver transplants than stool color card and stool color card had 2 fewer liver transplants than no screening. Universal screening for biliary atresia could be cost-effective depending on the willingness to pay thresholds for health benefits.

Improving the reliability of smartphone-based urine colorimetry using a colour card calibration method.

Urine colorimetry using a digital image-based colorimetry is potentially an accessible hydration assessment method. This study evaluated the agreement between urine colorimetry values measured with different smartphone brands under various lighting conditions in patients with dengue fever. The urine samples were photographed in a customized photo box, under five simulated lighting conditions, using five smartphones. These images were analyzed using Adobe Photoshop to obtain urine Red, Green and Blue (RGB) values with and without colour correction. A commercially available colour calibration card was used for colour correction. Using intraclass correlation coefficient (ICC), inter-phone and intra-phone agreements of urine RGB values were analyzed. Without colour correction, the various smartphones produced the highest agreement for Blue and Green values under the 'daylight' lighting condition. With colour correction, ICC values showed 'exceptional' inter-phone and intra-phone agreement for the Blue and Green values (ICC > 0.9). Red values showed 'poor' (ICC < 0.5) agreement with and without colour correction in all lighting conditions. Out of the five phones compared in this study, Phone 4 produced the lowest intra-phone agreement. Colour calibration using photo colour cards improved the reliability of smartphone-based urine colorimetry, making this a promising point-of-care hydration assessment tool using the ubiquitous smartphone.

Effect of Illuminants, Colour Cards and Shade Guides on Shade Matching - A Comparative Study

Effect of Illuminants, Colour Cards and Shade Guides on Shade Matching - A Comparative Study

Validation of a smartphone-based screening tool (Biliscan) for neonatal jaundice in a multi-ethnic neonatal population.

Neonatal jaundice is an important and prevalent condition that can cause kernicterus and mortality. This study validated a smartphone-based screening application (Biliscan) in detecting neonatal jaundice. A cross-sectional prospective study was conducted at the neonatal unit in a tertiary teaching hospital between August 2020 and October 2021. All babies born at the gestation of 35 weeks and above with clinical jaundice or are recommended for screening of jaundice within 21 days of post-natal age were recruited. Using Biliscan, images of the babies' skin over the sternum were taken against a standard colour card. The application uses feature extraction and machine learning regression to estimate the bilirubin level. Independent Biliscan bilirubin estimates (BsB) were made and compared with total serum bilirubin (TSB) and transcutaneous bilirubin (TcB) levels. Bland Altman plots were used to establish the agreement between BsB and TSB, as well as TcB, using the clinically acceptable limits of agreement of ±35 μmol/L, which were defined a priori. Pearson correlation coefficient was assessed to establish the strength of the relationship between BsB versus TSB and TcB. Diagnostic accuracy was assessed through receiver operating characteristic curve analysis. Sixty-one paired TSB-BsB and 85 paired TcB-BsB measurements were obtained. Bland Altman plot for the entire group showed that 54% (33/61) of the pairs of TSB and BsB readings and 66% (56/85) of the pairs of TcB and BsB readings were within the maximum clinically acceptable difference of 35 μmol/L. Pearson r for BsB versus TSB and TcB was 0.54 (P < 0.001) and 0.66 (P < 0.001) respectively. Compared with TSB, the recommended gold standard measure for jaundice, Biliscan has a sensitivity of 76.92% and specificity of 70.83% for jaundice requiring phototherapy. The positive and negative predictive values in term infants were 93.3% and 36.9%, respectively. Our results suggest that there is moderate correlation and mediocre agreement between BsB and TSB, as well as TcB. Improvement to the application algorithm and further studies that include a larger population, and a wider range of bilirubin values are necessary before the tool may be considered for use in screening of jaundice in newborns.

Dual-Color Fluorescent Hydrogel Microspheres Combined with Smartphones for Visual Detection of Lactate.

Since it is difficult for human eyes to distinguish between two identical colors with only <15% variation in brightness, mono-color fluorescent hydrogel microspheres have some limitations in the detection of lactate. Herein, we prepared novel dual-color fluorescent hydrogel microspheres, which can achieve hue transformation. Microspheres were prepared by introducing a fluorescent nanoparticle as the reference signal while CdTe QDs were used as the response signal. We used smartphones with image processing software to collect and analyze data. In this way, the signal of lactate was converted to RGB (red, green, and blue) values, which can be quantitatively read. Within 10 to 1500 μM, the R/G values of the microspheres had a linear relationship with the logarithm of the lactate concentration. Moreover, color cards for lactate detection were prepared, from which the color change and concentration of lactate could be easily read by the naked eye. It is worth mentioning that this method was successfully applied to screen patients with hyperlactatemia.

Computer vision quantization research on the architectural color of Avenida de Almeida Ribeiro in Macau based on the human eye perspective.

In this study, a new quantifiable and refined urban street color analysis method was proposed by combining professional color cards and efficient software color recognition, which solved the problems of low efficiency and difficulty in the quantification of urban color research and analysis. The research mainly uses China Building Color Card (CBCC) and Python (use programs for the HSV color segmentation of pictures) and other software to carry out color recognition for a street view. From the aspects of color composition, type, proportion, visual level, and color sequence of the street facade, this article makes a quantitative analysis of the color of Avenida de Almeida Ribeiro in Macao from multiple angles. The method of combining color card colorimetry with computer color recognition, which not only considers the inherent color of the building but also includes the color situation under the influence of the environment, can express the “actual color situation” of the building more completely. This article quantifies, combs, summarizes, and compares architectural color and environmental color completely. This method has good universality and ease of use in practice, and the conclusion of the study can provide a reference for the color planning of Macao, the color selection of urban renewal has reference significance, and provide a new method for the study of urban color.

Yabancılara Türkçe Öğretiminde Bir Materyal Geliştirme Örneği: Döndür-Geç

Implementation of plans, programs and curricula in foreign language teaching is possible with methods and techniques. Some physical supplementary teaching materials such as word cards, toys, color cards, etc. have been developed for these methods and techniques. Grammar teaching is an area that students find boring in general. A supplementary course material named Dönder-Geç has been prepared in order to enrich the teaching and keep the student's interest alive. This tool consists of three interlocking circles. There are 150 verb conjugations in five simple tenses with five different case suffixes and six personal pronouns. There are 30 conjugations for each case suffix and it is a tool with 25 different sentence possibilities in total, with five case suffixes appearing in front of each personal pronoun. How this tool is made and how to use it is discussed in the study and comments are made. Key words: Turkish as Foreign language, teaching Turkish to foreigners, foreign language teaching material.

A volatile basic nitrogens-responsive tag based on aggregation-induced emission luminogen for real-time monitoring and in situ visualization of salmon freshness

Given the ever-growing food safety issues, the establishment of efficient approaches for monitoring food freshness attracts increasing attention. Volatile basic nitrogens (VBNs), including biogenic amines and ammonia, serve as an important biomarker for monitoring food freshness. In this study, a novel VBNs-responsive tag using glutathione capped copper nanoclusters (GSH-CuNCs) aggregates was developed as a fluorescent probe for in situ and real-time visual monitoring of salmon freshness, and the prepared GSH-CuNCs aggregates were characterized and their sensitivity for detecting VBNs using biogenic amines and ammonium hydroxide as the model targets was evaluated. Based on their remarkable response in liquid status, the GSH-CuNCs aggregates-based tag as a gas indicator was then fabricated, which exhibited visible colour changes under UV light as a function of ammonia vapour concentrations. More importantly, through exploring the sensing mechanism of GSH-CuNCs aggregates in VBNs detection, the existence of ligand exchange between the GSH-CuNCs and VBNs was observed and verified for the first time, confirming the effect of hydrogen bonding reported in the literature. Moreover, the GSH-CuNCs aggregates-based tag was applied for quantitative analysis of salmon freshness during different storage periods, which was validated by the standard method for detection of total VBNs in salmon. In addition, a colour card was developed and its feasibility for application in monitoring salmon freshness was validated, which could be used for consumers to obtain the freshness level directly with the naked eye, demonstrating the feasibility of the fabricated tag for real-time and visual monitoring of salmon freshness, thus showing great potentials for its practical applications in the food industry.

Reducing the Incidence of Feeding Intolerance in Premature Infants in the Neonatal Intensive Care Unit

Nutrition is very important for premature infants. Our recent research showed that the accuracy of recognition related to tube feeding was 74.8%, and the completeness of tube feeding was 74.3%. After analyzing this situation, the reasons found to be significantly associated with the low rates of tube-feeding recognition accuracy and completion included: inconsistent treatment of gastric residual by nurses in the neonatal intensive care unit (NICU), lack of sufficient assessment tools in the NICU, out-of-date specialist care guidelines, and lack of a regular inspection system. Our aim was to improve tube-feeding-related recognition accuracy and completion to reduce the incidence of feeding intolerance. The intervention included developing a guideline manual for feeding procedures and making a gastric residual color card as a clinical-care reference. Holding on-the-job training and monitoring the quality of nursing care can reduce the incidence of feeding intolerance in preterm. The accuracy of tube-feeding recognition increased from 74.8% to 93.7%. The completion of tube feeding increased from 74.3% to 95.5%. The incidence of feeding intolerance in premature infants decreased from 71.8% to 39.0%. The results and process of this project provides a reference for improving the clinical care model for preterm infants in the NICU and for improving the enteral nutrition of preterm infants. The implementation of this project may improve the quality of nursing care and enable preterm infants to receive safer and more-complete care.

Mechanism of bluish pigment formation in lotus rhizome starch with ferrous sulfate and its application in rapid detection of adulteration

ABSTRACT Lotus rhizome starch (LRS) is an important traditional processed product of lotus rhizome in China due to its good taste and high nutritional value. However, adulterated lotus rhizome starches are prevalent on the market. In this study, a novel method for the rapid detection of adulteration in LRS based on color reaction between ferrous sulfate (FS) and (-)-gallocatechin (GC) in LRS was studied. The polyphenols in LRS were analyzed by liquid chromatography-mass spectrometry (LC-MS/MS) as GC and (+)-catechin, and GC could show a bluish color with FS solution. LRS showed a bluish color when FS solution (0.01 mol/L) was used as the chromogenic agent, which was not observed for other ten kinds of starches tested in this work. There was an obvious color gradient when FS solution was used to react with adulterated LRS at different proportions, and the change in blue color was obvious when maize starch or cassava starch was adulterated in LRS at the ratio of 6:4. Then, a semi-quantitative method was used to make a color card according to the color gradient, which was then successfully used to detect the adulteration of four kinds of commercial LRS. The results indicate that the proposed method may facilitate the simple, effective and efficient detection of adulteration in LRS.

Accurate fish-freshness prediction label based on red cabbage anthocyanins

Biosafe colorimetric labels that can accurately evaluate food freshness have been widely investigated in recent years. Here, red cabbage anthocyanin labels and back propagation (BP) neural network are combined to form a system for monitoring fish freshness. Anthocyanins extracted from red cabbage were used as color response pigments and carboxymethyl chitosan/oxidized sodium alginate (CMCS/OSA) as the solid matrix. They were dispersed in silica sol to obtain colorimetric labels using the screen-printing approach. The label is recognized by the mobile phone to obtain freshness information, rather than the traditional method with the color card. The labels underwent color gradation during the storage period which was driven by response of anthocyanins to changes in pH. Computers are more sensitive to changes in color than the human eye. The labels are divided into three categories according to the freshness of the fish. BP neural network trained with labeled red cabbage anthocyanin label images predicted fish freshness with an overall accuracy of 92.6%. Integrating a BP neural network into a smartphone application forms a simple system for fast label scanning and real-time identification of fish freshness. The system can be used for food quality control throughout the supply chain.