Cientistas publicam um roteiro para aproveitar a ciência de dados e a inteligaªncia artificial para microscopia eletra´nica, desbloqueando todo o poder da ferramenta
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)
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Desde que entraram em uso em 1938, os microsca³pios eletra´nicos tem desempenhado um papel fundamental em uma sanãrie de avanços cientaficos, incluindo a descoberta de novas proteanas e terapaªuticas e contribuições feitas para a revolução eletra´nica. Mas o campo da microscopia eletra´nica deve incorporar os últimos avanços em ciência de dados e inteligaªncia artificial para realizar todo o seu potencial nos pra³ximos anos, de acordo com uma equipe de pesquisa global coliderada por Mitra Taheri , professor de ciência de materiais e engenharia da Universidade Johns Hopkins Escola de Engenharia Whiting.
Em um comenta¡rio na Nature Materials , Taheri e a equipe discutem um modelo para uma arquitetura de microscopia aberta, altamente integrada e orientada por dados necessa¡ria para enfrentar os desafios futuros no campo, como armazenamento de energia, ciência da informação qua¢ntica e design de materiais. Eles recomendam uma abordagem que integra inteligaªncia artificial e aprendizado de ma¡quina em cada etapa do fluxo de trabalho da microscopia, permitindo experimentos e descobertas que não são possaveis apenas com a tecnologia de microscopia de hoje.
"AS FERRAMENTAS DE INTELIGaŠNCIA ARTIFICIAL E APRENDIZADO DE MaQUINA NaƒO APENAS NOS PERMITEM GERENCIAR O FLUXO DE DADOS, MAS TAMBa‰M PERMITEM SOLUa‡a•ES DE MICROSCOPIA MAIS INOVADORAS NO FUTURO."
Mitra Taheri
Departamento de Ciência e Engenharia de Materiais
"Para aproveitar totalmente os volumes sem precedentes de dados disponíveis hoje, precisamos repensar completamente como a experimentação éconduzida em microscopia", disse Taheri, que dirige o Centro de Caracterização e Processamento de Materiais da Johns Hopkins. "Estamos nos aproximando rapidamente do ponto de saturação de dados. As ferramentas de inteligaªncia artificial e aprendizado de ma¡quina não apenas nos permitem gerenciar o fluxo de dados, mas também permitem soluções de microscopia mais inovadoras no futuro."
Na pea§a, os autores discutem como os microsca³pios atuais nos permitem dar uma espiada no mundo emnívelata´mico usando feixes de elanãtrons e revelando como a locomoção e as malformações daspartículas atômicas podem impactar materiais e processos quamicos. A microscopia eletra´nica e as melhorias nos componentes dos instrumentos, como lentes eletromagnanãticas, trouxeram um longo caminho ao campo e estãopermitindo a extração de informações verdadeiramente estatasticas profundas sobre processos muito complexos pela primeira vez. Embora seja uma a³tima notacia, os pesquisadores dizem que traz em foco as limitações da microscopia em seu estado atual. Em termos de análise de várias amostras representativas e integração de grandes volumes de dados multidimensionais de detectores de alta velocidade, a microscopia tradicional éum tanto limitada, afirmam.
"O campo como um todo ainda não adotou manãtodos de ciência de dados que revolucionaram outros domanios, como a crioanálise de partacula única e cristalografia de raios-X", explica Steven Spurgeon, cientista de materiais do Pacific Northwest National Laboratory e coautor do comenta¡rio . "Vocaª estãobebendo de uma mangueira de incaªndio quando o instrumento tira 1.000 imagens por segundo."
Taheri diz que repensar como a experimentação de microscopia éconduzida e incorporar esses manãtodos revoluciona¡rios de ciência de dados éa chave para desbloquear o poder total da microscopia eletra´nica e desempenhara¡ um papel crítico na realização dos objetivos da Materials Genome Initiative.
Os membros da equipe se reuniram durante o workshop de Microscopia Eletra´nica de Transmissão de Pra³xima Geração, ou NexTEM, que faz parte de uma sanãrie liderada por Taheri, Spurgeon e Demie Kepaptsoglou do SuperSTEM Daresbury no Reino Unido.