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Methods of Hematoxylin and Erosin Image Information Acquisition and Optimization in Confocal Microscopy / 대한의료정보학회지
Healthcare Informatics Research ; : 238-242, 2016.
Artigo em Inglês | WPRIM | ID: wpr-177091
ABSTRACT

OBJECTIVES:

We produced hematoxylin and eosin (H&E) staining-like color images by using confocal laser scanning microscopy (CLSM), which can obtain the same or more information in comparison to conventional tissue staining.

METHODS:

We improved images by using several image converting techniques, including morphological methods, color space conversion methods, and segmentation methods.

RESULTS:

An image obtained after image processing showed coloring very similar to that in images produced by H&E staining, and it is advantageous to conduct analysis through fluorescent dye imaging and microscopy rather than analysis based on single microscopic imaging.

CONCLUSIONS:

The colors used in CLSM are different from those seen in H&E staining, which is the method most widely used for pathologic diagnosis and is familiar to pathologists. Computer technology can facilitate the conversion of images by CLSM to be very similar to H&E staining images. We believe that the technique used in this study has great potential for application in clinical tissue analysis.
Assuntos

Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Assunto principal: Coloração e Rotulagem / Processamento de Imagem Assistida por Computador / Amarelo de Eosina-(YS) / Microscopia Confocal / Diagnóstico / Fluorescência / Hematoxilina / Métodos / Microscopia Tipo de estudo: Estudo diagnóstico Idioma: Inglês Revista: Healthcare Informatics Research Ano de publicação: 2016 Tipo de documento: Artigo

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Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Assunto principal: Coloração e Rotulagem / Processamento de Imagem Assistida por Computador / Amarelo de Eosina-(YS) / Microscopia Confocal / Diagnóstico / Fluorescência / Hematoxilina / Métodos / Microscopia Tipo de estudo: Estudo diagnóstico Idioma: Inglês Revista: Healthcare Informatics Research Ano de publicação: 2016 Tipo de documento: Artigo