Flexiplex: a versatile demultiplexer and search tool for omics data.

MOTIVATION: The process of analyzing high throughput sequencing data often requires the identification and extraction of specific target sequences. This could include tasks, such as identifying cellular barcodes and UMIs in single-cell data, and specific genetic variants for genotyping. However, existing tools, which perform these functions are often task-specific, such as only demultiplexing barcodes for a dedicated type of experiment, or are not tolerant to noise in the sequencing data. RESULTS: To overcome these limitations, we developed Flexiplex, a versatile and fast sequence searching and demultiplexing tool for omics data, which is based on the Levenshtein distance and thus allows imperfect matches. We demonstrate Flexiplex's application on three use cases, identifying cell-line-specific sequences in Illumina short-read single-cell data, and discovering and demultiplexing cellular barcodes from noisy long-read single-cell RNA-seq data. We show that Flexiplex achieves an excellent balance of accuracy and computational efficiency compared to leading task-specific tools. AVAILABILITY AND IMPLEMENTATION: Flexiplex is available at https://davidsongroup.github.io/flexiplex/.

Development of a Low-Cost Distributed Computing Pipeline for High-Throughput Cotton Phenotyping.

In this paper, we present the development of a low-cost distributed computing pipeline for cotton plant phenotyping using Raspberry Pi, Hadoop, and deep learning. Specifically, we use a cluster of several Raspberry Pis in a primary-replica distributed architecture using the Apache Hadoop ecosystem and a pre-trained Tiny-YOLOv4 model for cotton bloom detection from our past work. We feed cotton image data collected from a research field in Tifton, GA, into our cluster's distributed file system for robust file access and distributed, parallel processing. We then submit job requests to our cluster from our client to process cotton image data in a distributed and parallel fashion, from pre-processing to bloom detection and spatio-temporal map creation. Additionally, we present a comparison of our four-node cluster performance with centralized, one-, two-, and three-node clusters. This work is the first to develop a distributed computing pipeline for high-throughput cotton phenotyping in field-based agriculture.

Neural Activity and Information Processing Capacity of Neuronal Culture.

Whether artificial or living, neural networks perform tremendously diverse kinds of information processing, such as visual feature extraction, speech recognition, motor control, and so on. Some studies have evaluated the computational ability of living neural networks based on the performances of specific tasks, yet could not comprehensively grasp the versatile ability. In this study, we investigated dissociated culture of neurons as a physical reservoir, which generates diverse outputs through linear regression, or readout, of the dynamical states. Based on the theory of reservoir computing, the potential computational capabilities of neuronal culture were evaluated by the information processing capacity (IPC), which indicates how a target function can be achieved from the given dynamics. As a result, we found that the neuronal culture exhibited significant IPC and that IPC varied with the inter-step interval (ISI), the time step of reservoir computing. The cultures exhibited a memory capacity of 10 time steps for computation, and this memory capacity decayed at an ISI of 5 ms or shorter. In addition, the IPC had a significant positive correlation with the intensity of the evoked response relative to spontaneous activity. The multiple regression model with evoked response and ISI showed the positive effect of evoked response and 30 ms as the best ISI for IPC. These results suggest that the distinct evoked response and the optimal time step to interact with the neuronal culture are key factors to uncover computational resources from the neuronal system.

Lei Geral de Proteção de Dados e o controle social da saúde / General Data Protection Law and the social control of health

A proteção dos dados pessoais é um tema crucial para o controle social da saúde nesses tempos de capitalismo de vigilância em que há uma troca constante da privacidade dos indivíduos por serviços. Os capítulos dessa publicação são fruto de autores especialistas e convidados que participaram do Seminário online e gratuito intitulado "LGPD na Saúde: o CNS como articulador dos interesses da sociedade brasileira em Defesa da Vida", realizado em 2021. O evento foi promovido pelo Conselho Nacional de Saúde e nove mesas redondas conformaram três eixos de discussão: Acesso Universal à Saúde na Sociedade da Informação; Governo, Transformação Digital, Cidadania e o Controle Social da Saúde e Aspectos da Saúde Digital e da Ética em Pesquisa à Luz da LGPD. Enfim, esta coletânea visa contribuir com o cenário da governança das informações em saúde e a literacia dos atores do controle social na transição digital da saúde, suas práticas e tecnologias emergentes associadas.

How missing value imputation is confounded with batch effects and what you can do about it.

In data-processing pipelines, upstream steps can influence downstream processes because of their sequential nature. Among these data-processing steps, batch effect (BE) correction (BEC) and missing value imputation (MVI) are crucial for ensuring data suitability for advanced modeling and reducing the likelihood of false discoveries. Although BEC-MVI interactions are not well studied, they are ultimately interdependent. Batch sensitization can improve the quality of MVI. Conversely, accounting for missingness also improves proper BE estimation in BEC. Here, we discuss how BEC and MVI are interconnected and interdependent. We show how batch sensitization can improve any MVI and bring attention to the idea of BE-associated missing values (BEAMs). Finally, we discuss how batch-class imbalance problems can be mitigated by borrowing ideas from machine learning.

Molecular information technology with DNA.

Qian and Winfree constructed complex biochemical circuits with computation capability from scratch, demonstrating the programmability of biomolecules. One day, programming molecular information processing may be just like how electronic machines are programmed today, with exciting applications in nanoscale science and biotechnology.

Implementation of barcode medication administration (BMCA) technology on infusion pumps in the operating rooms.

BACKGROUND: Medication administration errors (MAEs) are a major cause of morbidity and mortality. An updated barcode medication administration (BCMA) technology on infusion pumps is implemented in the operating rooms to automate double check at a syringe exchange. OBJECTIVE: The aim of this mixed-methods before-and-after study is to understand the medication administrating process and assess the compliance with double check before and after implementation. METHODS: Reported MAEs from 2019 to October 2021 were analysed and categorised to the three moments of medication administration: (1) bolus induction, (2) infusion pump start-up and (3) changing an empty syringe. Interviews were conducted to understand the medication administration process with functional resonance analysis method (FRAM). Double check was observed in the operating rooms before and after implementation. MAEs up to December 2022 were used for a run chart. RESULTS: Analysis of MAEs showed that 70.9% occurred when changing an empty syringe. 90.0% of MAEs were deemed to be preventable with the use of the new BCMA technology. The FRAM model showed the extent of variation to double check by coworker or BCMA.Observations showed that the double check for pump start-up changed from 70.2% to 78.7% postimplementation (p=0.41). The BCMA double check contribution for pump start-up increased from 15.3% to 45.8% (p=0.0013). The double check for changing an empty syringe increased from 14.3% to 85.0% (p<0.0001) postimplementation. BCMA technology was new for changing an empty syringe and was used in 63.5% of administrations. MAEs for moments 2 and 3 were significantly reduced (p=0.0075) after implementation in the operating rooms and ICU. CONCLUSION: An updated BCMA technology contributes to a higher double check compliance and MAE reduction, especially when changing an empty syringe. BCMA technology has the potential to decrease MAEs if adherence is high enough.

"Are we there yet?" Ten persistent hazards and inefficiencies with the use of medication administration technology from the perspective of practicing nurses.

OBJECTIVES: (1) Characterize persistent hazards and inefficiencies in inpatient medication administration; (2) Explore cognitive attributes of medication administration tasks; and (3) Discuss strategies to reduce medication administration technology-related hazards. MATERIALS AND METHODS: Interviews were conducted with 32 nurses practicing at 2 urban, eastern and western US health systems. Qualitative analysis using inductive and deductive coding included consensus discussion, iterative review, and coding structure revision. We abstracted hazards and inefficiencies through the lens of risks to patient safety and the cognitive perception-action cycle (PAC). RESULTS: Persistent safety hazards and inefficiencies related to MAT organized around the PAC cycle included: (1) Compatibility constraints create information silos; (2) Missing action cues; (3) Intermittent communication flow between safety monitoring systems and nurses; (4) Occlusion of important alerts by other, less helpful alerts; (5) Dispersed information: Information required for tasks is not collocated; (6) Inconsistent data organization: Mismatch of the display and the user's mental model; (7) Hidden medication administration technologies (MAT) limitations: Inaccurate beliefs about MAT functionality contribute to overreliance on the technology; (8) Software rigidity causes workarounds; (9) Cumbersome dependencies between technology and the physical environment; and (10) Technology breakdowns require adaptive actions. DISCUSSION: Errors might persist in medication administration despite successful Bar Code Medication Administration and Electronic Medication Administration Record deployment for reducing errors. Opportunities to improve MAT require a deeper understanding of high-level reasoning in medication administration, including control over the information space, collaboration tools, and decision support. CONCLUSION: Future medication administration technology should consider a deeper understanding of nursing knowledge work for medication administration.

Artificial Intelligence for Detecting Cephalometric Landmarks: A Systematic Review and Meta-analysis.

Using computer vision through artificial intelligence (AI) is one of the main technological advances in dentistry. However, the existing literature on the practical application of AI for detecting cephalometric landmarks of orthodontic interest in digital images is heterogeneous, and there is no consensus regarding accuracy and precision. Thus, this review evaluated the use of artificial intelligence for detecting cephalometric landmarks in digital imaging examinations and compared it to manual annotation of landmarks. An electronic search was performed in nine databases to find studies that analyzed the detection of cephalometric landmarks in digital imaging examinations with AI and manual landmarking. Two reviewers selected the studies, extracted the data, and assessed the risk of bias using QUADAS-2. Random-effects meta-analyses determined the agreement and precision of AI compared to manual detection at a 95% confidence interval. The electronic search located 7410 studies, of which 40 were included. Only three studies presented a low risk of bias for all domains evaluated. The meta-analysis showed AI agreement rates of 79% (95% CI: 76-82%, I2 = 99%) and 90% (95% CI: 87-92%, I2 = 99%) for the thresholds of 2 and 3 mm, respectively, with a mean divergence of 2.05 (95% CI: 1.41-2.69, I2 = 10%) compared to manual landmarking. The menton cephalometric landmark showed the lowest divergence between both methods (SMD, 1.17; 95% CI, 0.82; 1.53; I2 = 0%). Based on very low certainty of evidence, the application of AI was promising for automatically detecting cephalometric landmarks, but further studies should focus on testing its strength and validity in different samples.

Barcode Medication Administration Technology to Prevent Medication Errors.

Medication errors cause harm to patients at any point along the medication administration process and can be prevented. Barcoding medication administration (BCMA) is effective as a clinical decision support system (CDSS) to avoid errors. This viewpoint proposes the implementation of BCMA to avoid potential adverse events. The opinion piece gives an overview of BCMA, reviews the current literature on its effectiveness, and sheds light on the associated challenges and how to overcome them. The objective of this article is to increase awareness regarding BCMA and how it can decrease patient morbidity and mortality, enhance safety, and lower overall hospital-associated costs by preventing medication errors. Key Words: Bar-code medication administration, Medication errors, Adverse drug events, Patient safety.

Interdisciplinary and Innovative: A Nursing and Computer Science Collaboration to Create a Barcode Medication Administration System.

ABSTRACT: Preventing medication errors remains a priority in nursing education. The implementation of Barcode Medication Administration (BCMA) systems is one strategy that has been used to reduce medication errors. Practice using BCMA in simulated settings may enhance the transfer of these skills to the clinical practice setting. However, the purchase of BCMA educational products available for nursing students can be cost prohibitive for many nursing programs. To overcome the barrier of cost, an interdisciplinary and innovative collaborative approach was used to create a fully functional low-cost BCMA system.

Improving Administration and Documentation of Enteral Nutrition Support Therapy in a Veteran Affairs Health Care System: Use of Medication Administration Record and Bar Code Scanning Technology.

OBJECTIVES: The goal of this project was to evaluate and improve the ordering, administration, documentation, and monitoring of enteral nutrition therapies within the inpatient setting in a Veteran's Health Administration system. METHODS: An interdisciplinary team of clinicians reviewed the literature for best practices and revised the process for enteral nutrition support for hospitalized veterans. Interventions included training staff, revising workflows to include scanning patients and products, including enteral nutrition orders within the medication administration record (MAR), and using the existing bar code medication administration system for administration, documentation, and monitoring. Baseline and postprocess improvement outcomes over a year period were collected and analyzed for quality improvement opportunities. RESULTS: Before process change, only 60% (33/55) of reviewed enteral nutrition orders were documented and 40% (22/55) were not documented in the intake flowsheet of the electronic health record. In the year after adding enteral nutrition therapies to the MAR and using bar code scanning, a total of 3807 enteral nutrition products were evaluated. One hundred percent of patients were bar code scanned, 3106/3807 (82%) products were documented as given, 447/3807 (12%) were documented as held (with comments), 12/3807 (<1%) were documented as missing/unavailable, and 242/3807 (6%) were documented as refused. CONCLUSIONS: Inclusion of enteral nutrition order sets on the MAR and using bar code scanning technology resulted in sustained improvements in safety, administration, and documentation of enteral therapies for hospitalized veterans.

A Novel Use of Bar Code Medication Administration Data to Assess Nurse Staffing and Workload.

OBJECTIVE: The aim of the study is to introduce an innovative use of bar code medication administration (BCMA) data, medication pass analysis, that allows for the examination of nurse staffing and workload using data generated during regular nursing workflow. METHODS: Using 1 year (October 1, 2014-September 30, 2015) of BCMA data for 11 acute care units in one Veterans Affairs Medical Center, we determined the peak time for scheduled medications and included medications scheduled for and administered within 2 hours of that time in analyses. We established for each staff member their daily peak-time medication pass characteristics (number of patients, number of peak-time scheduled medications, duration, start time), generated unit-level descriptive statistics, examined staffing trends, and estimated linear mixed-effects models of duration and start time. RESULTS: As the most frequent (39.7%) scheduled medication time, 9:00 was the peak-time medication pass; 98.3% of patients (87.3% of patient-days) had a 9:00 medication. Use of nursing roles and number of patients per staff varied across units and over time. Number of patients, number of medications, and unit-level factors explained significant variability in registered nurse (RN) medication pass duration (conditional R2 = 0.237; marginal R2 = 0.199; intraclass correlation = 0.05). On average, an RN and a licensed practical nurse (LPN) with four patients, each with six medications, would be expected to take 70 and 74 minutes, respectively, to complete the medication pass. On a unit with median 10 patients per LPN, the median duration (127 minutes) represents untimely medication administration on more than half of staff days. With each additional patient assigned to a nurse, average start time was earlier by 4.2 minutes for RNs and 1.4 minutes for LPNs. CONCLUSION: Medication pass analysis of BCMA data can provide health systems a means for assessing variations in staffing, workload, and nursing practice using data generated during routine patient care activities.

Introdução à análise de dados em saúde com Python / Introduction to healthcare data analysis with Python

Este eBook foi elaborado no contexto do curso de capacitação Introdução à Análise de Dados em Saúde com Python ofertado pelo Centro de Inovação em Inteligência Artificial para Saúde. O curso tem como objetivo introduzir o estudo exploratório de bases de dados de saúde, com a utilização do Python. Neste eBook, procura-se apresentar uma abordagem preliminar à Ciência de Dados, que explora e descreve um conjunto de dados com técnicas da estatística descritiva e inferencial por meio da linguagem de programação Python. O público alvo que pretende-se atingir caracteriza-se por profissionais de saúde, alunos de graduação e pós-graduação, docentes e pesquisadores da área das ciências da saúde, exatas ou demais interessados em utilizar os recursos computacionais para análise de bases de dados em saúde. A linguagem Python tem se destacado como uma ferramenta poderosa para análise de dados em saúde, possuindo uma ampla gama de bibliotecas e recursos, o Python pode ser usado para limpar, processar, analisar e visualizar dados de saúde. Além disso, a comunidade de utilizadores da linguagem Python é muito colaborativa, com muitos recursos disponíveis, incluindo documentação, tutoriais e fóruns de suporte. O conteúdo foi agrupado em conceitos iniciais sobre a utilização dos dados em saúde, introdução ao Python para utilização de dados, conceitos de limpeza e tratamento de dados, aplicação da estatística descritiva com os sumários estatísticos e gráficos, técnicas de amostragens, aplicação da estatística inferencial com os testes de hipótese, de associação, de médias, de medianas e correlações, além de explorar a estilização de gráficos.

Atualidades e perspectivas futuras da comissão consultiva em avaliação psicológica / Current affairs and future perspectives of the consultative commission on psychological assessment (CCAP) / Actualidades y perspectivas de futuro de la comisión consultiva en evaluación psicológica

A Comissão Consultiva em Avaliação Psicológica (CCAP), atrelada ao Sistema de Avaliação de Testes Psicológicos (SATEPSI) do Conselho Federal de Psicologia (CFP), tem como objetivos emitir pareceres acerca de solicitações advindas da avaliação psicológica(AP), elaborar e propor atualizações de documentos técnicos e normativos do CFP relativos à AP, elaborar e propor diretrizes para o ensino e formação continuada em AP, conduzir o processo de avaliação dos instrumentos submetidos ao SATEPSI e discutir temas e propor ações no âmbito da AP. Nos últimos 20 anos, a CCAP vem buscando atender a esses objetivos, indicando novos caminhos para a área. Nesse sentido, este artigo tem como objetivo apresentar as principais atualidades e movimentos da CCAP, indicando caminhos possíveis e perspectivas futuras para a área de AP. São discutidas as ações atuais que vêm sendo desenvolvidas pela CCAP, bem como as ações futuras delineadas que buscam promover uma AP cada vez mais democrática. Concluímos que a AP é uma prática do(a) psicólogo(a) que deve ser operacionalizada com compromisso ético, atrelada aos direitos humanos e à justiça, com embasamento científico e alinhada às mudanças sociais.(AU)

The Consultative Commission on Psychological Assessment (CCAP), affiliated with the Psychological Test Evaluation System under the Federal Council of Psychology (CFP), has the following objectives: to provide expert opinions on requests stemming from psychological assessments (PA), to draft and propose updates to the CFP technical and normative documents pertaining to PA, to formulate and recommend guidelines for education and ongoing professional development in PA, to oversee the evaluation process of instruments submitted to SATEPSI, and to engage in discussions and propose initiatives within the PA. Over the past two decades, CCAP has diligently worked to achieve these goals, charting new avenues in the field. In this context, this study aims to describe the most current developments and initiatives of CCAP and outline prospective directions and future outlooks for the PA. This study delves into the current initiatives undertaken by CCAP and the prospective actions delineated to foster a progressively more inclusive PA. Thus, we claim that PA is a practice inherent to psychologists that demands ethical commitment, alignment with human rights and justice, a solid scientific foundation, and adaptation to evolving social dynamics.(AU)

La Comisión Consultiva en Evaluación Psicológica (CCAP), vinculada al Sistema de Evaluación de Pruebas Psicológicas (SATEPSI) del Consejo Federal de Psicología (CFP), tiene como objetivo emitir opinión técnica sobre solicitudes derivadas de la evaluación psicológica (EP), elaborar y proponer actualizaciones de documentos técnicos y normativos del CFP relacionados con EP, desarrollar y proponer lineamientos para la enseñanza y la formación continua en EP, conducir el proceso de evaluación de los instrumentos presentados al SATEPSI y discutir temas y proponer acciones en el ámbito de EP. Durante los últimos veinte años, la CCAP ha buscado alcanzar estos objetivos indicando nuevos caminos para el área. En este sentido, este artículo tiene como objetivo presentar las principales actualidades y movimientos de la CCAP indicando posibles caminos y perspectivas de futuro para el área de EP. Se discuten las acciones actuales que ha desarrollado la CCAP, así como las acciones futuras perfiladas que buscan promover una EP cada vez más democrática. Se concluye que la EP es una práctica del psicólogo que debe ponerse en práctica con compromiso ético, vinculada a los derechos humanos y la justicia, con base científica y alineada con los cambios sociales.(AU)

Population genetics and molecular identification of Crocodylus acutus and C. moreletii (Crocodilia: Crocodylidae) in captive and wildlife populations / Genética de poblaciones e identificación molecular de Crocodylus acutus y C. moreletii (Crocodilia: Crocodylidae) en poblaciones de cautiverio y de vida libre

Abstract Introduction: There is low evidence of genetic diversity and hybridization processes within Crocodylus acutus and C. moreletii populations. Objetive: To evaluate genetic diversity and some phylogenetic relationships in wild and captive populations of C. acutus and C. moreletii using the Barcode of Life Data System (COX1, cytochrome C oxidase subunit 1 gene). Methods: 28 individuals phenotypically like C. acutus located in the state of Guerrero, Oaxaca and Quintana Roo were sampled, as well as animals belonging to C. moreletii located in the states of Tabasco, Campeche, and Quintana Roo. 641 base pairs of nucleotide sequence from COX1 were used to obtain the haplotype and nucleotide diversity per population, and a phylogenetic and network analysis was performed. Results: Evidence of hybridization was found by observing C. moreletti haplotypes in animals phenotypically determined as C. acutus, as well as C. acutus haplotypes in animals classified as C. moreletti. Low haplotypic diversity was observed for C. acutus (0.455 ± 0.123) and for C. moreletii (0.505 ± 0.158). A phylogenetic tree was obtained in which the sequences of C. acutus and C. moreletii were grouped into two well-defined clades. Organisms identified phenotypically as C. acutus but with C. moreletii genes were separated into a different clade within the clade of C. moreletii. Conclusions: There are reproductive individuals with haplotypes different from those of the species. This study provides a small but significant advance in the genetic knowledge of both crocodile species and the use of mitochondrial markers, which in this case, the COX1 gene allowed the detection of hybrid organisms in wild and captive populations. Conservation efforts for both species of crocodiles should prevent the crossing of both threatened species and should require the genetic identification of pure populations, to design effective conservation strategies considering the possibility of natural hybridization in areas of sympatry.

Resumen Introducción: Existe poca evidencia de la diversidad genética y los procesos de hibridación dentro de las poblaciones de Crocodylus acutus y C. moreletii. Objetivo: Evaluar la diversidad genética y algunas relaciones filogenéticas en poblaciones silvestres y cautivas de C. acutus y C. moreletii utilizando el Sistema de Código de Barras de la vida (COX1, subunidad I del gen del citocromo C oxidasa). Métodos: Se muestrearon 28 individuos fenotípicamente similares a C. acutus ubicados en los estados de Guerrero, Oaxaca y Quintana Roo, así como animales pertenecientes a C. moreletii ubicados en los estados de Tabasco, Campeche y Quintana Roo. Se utilizaron 641 pares de bases de la secuencia de nucleótidos de la subunidad I del gen del citocromo C oxidasa para obtener el haplotipo y la diversidad de nucleótidos por población, y se realizó un análisis filogenético y de redes. Resultados: Se encontró evidencia de hibridación al observar haplotipos de C. moreletti en animales determinados fenotípicamente como C. acutus, así como haplotipos de C. acutus en animales clasificados como C. moreletti. Se observó una baja diversidad haplotípica para C. acutus (0.455 ± 0.123) y para C. moreletii (0.505 ± 0.158). Se obtuvo un árbol filogenético en el que las secuencias propias de C. acutus y C. moreletii se agruparon en dos grandes y bien definidos clados. Los organismos identificados fenotípicamente como C. acutus pero con genes de C. moreletii se separaron en un clado diferente dentro del clado de C. moreletii. Conclusiones: Existen individuos reproductores con haplotipos diferentes a los de la especie. Este estudio aporta un pequeño pero significativo avance en el conocimiento genético tanto de las especies de cocodrilos como del uso de marcadores mitocondriales, que, en este caso, el gen COX1 permitió la detección de organismos híbridos en poblaciones silvestres y cautivas. Los esfuerzos de conservación para ambas especies de cocodrilos deben evitar el cruce de ambas especies amenazadas y deben requerir la identificación genética de poblaciones puras, para diseñar estrategias de conservación efectivas considerando la posibilidad de hibridación natural en áreas de simpatría.

Performance of QR Code Detectors near Nyquist Limits.

For the interacting with real world, augmented reality devices need lightweight yet reliable methods for recognition and identification of physical objects. In that regard, promising possibilities are offered by supporting computer vision with 2D barcode tags. These tags, as high contrast and visually well-defined objects, can be used for finding fiducial points in the space or to identify physical items. Currently, QR code readers have certain demands towards the size and visibility of the codes. However, the increase of resolution of built-in cameras makes it possible to identify smaller QR codes in the scene. On the other hand, growing resolutions cause the increase to the computational effort of tag location. Therefore, resolution reduction in decoders is a common trade-off between processing time and recognition capabilities. In this article, we propose the simulation method of QR codes scanning near limits that stem from Shannon's theorem. We analyze the efficiency of three publicly available decoders versus different size-to-sampling ratios (scales) and MTF characteristics of the image capture subsystem. The MTF we used is based on the characteristics of real devices, and it was modeled using Gaussian low-pass filtering. We tested two tasks-decoding and locating-and-decoding. The findings of the work are several-fold. Among others, we identified that, for practical decoding, the QR-code module should be no smaller than 3-3.5 pixels, regardless of MTF characteristics. We confirmed the superiority of Zbar in practical tasks and the worst recognition capabilities of OpenCV. On the other hand, we identified that, for borderline cases, or even below Nyquist limit where the other decoders fail, OpenCV is still capable of decoding some information.

Informatics Opportunities and Challenges in Medical Imaging: A Journey.

The role of the field of informatics in medical imaging is vital; novel or adapted informatics' core methods can be employed to realise innovative information processing and engineering of medical images. As such, imaging informatics can assist in the interpretation of image-based, clinically recorded evidence. This, in turn, leads to the generation of associated actionable knowledge to achieve precision medicine practice. The discipline of informatics has the power to transform data to useful clinical information patterns of observable evidence and, subsequently to generate actionable knowledge in terms of diagnosis, prognosis, and disease management. This paper presents the author's personal viewpoint and distinct contributions to innovations in the acquisition and collection of imaging data; storage, retrieval, and management of imaging information objects; quantitative analysis, classification, and dissemination of imaging observable evidence.