Evaluation of a completely automated tissue-sectioning machine for paraffin blocks

Onozato, Maristela L.; Hammond, Stephen; Merren, Mark; Yagi, Yukako

doi:10.1136/jclinpath-2011-200205

Cited by 27 publications

(19 citation statements)

References 2 publications

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“…[9] Automation will greatly improve consistency in thickness, minimize folds and tears, and eliminate the need to pause in the middle of an extensive sectioning process. As Onozato et al .…”

Section: Resultsmentioning

confidence: 99%

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Understanding the three-dimensional world from two-dimensional immunofluorescent adjacent sections

Fujisawa

Yarilin

Fan

et al. 2015

Journal of Pathology Informatics

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Visualizing tissue structures in three-dimensions (3D) is crucial to understanding normal and pathological phenomena. However, staining and imaging of thick sections and whole mount samples can be challenging. For decades, researchers have serially sectioned large tissues and painstakingly reconstructed the 3D volume. Advances in automation, from sectioning to alignment, now greatly accelerate the process. In addition, immunofluorescent staining methods allow multiple antigens to be simultaneously detected and analyzed volumetrically. The objective was to incorporate multi-channel immunofluorescent staining and automation in 3D reconstruction of serial sections for volumetric analysis. Paraffin-embedded samples were sectioned manually but were processed, stained, imaged and aligned in an automated fashion. Reconstructed stacks were quantitatively analyzed in 3D. By combining automated immunofluorescent staining and tried-and-true methods of reconstructing adjacent sections, we were able to visualize, in detail, not only the geometric structures of the sample but also the presence and interactions of multiple proteins and molecules of interest within their 3D environment. Advances in technology and software algorithms have significantly expedited the 3D reconstruction of serial sections. Automated, multi-antigen immunofluorescent staining will significantly broaden the range and complexity of scientific questions that can be answered with this methodology.

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Section: Resultsmentioning

confidence: 99%

“…As Onozato et al . describe in their paper,[9] the advantages of using automated sectioning machine would be most apparent and appreciated in 3D reconstruction of serial sections.…”

Section: Resultsmentioning

confidence: 99%

Understanding the three-dimensional world from two-dimensional immunofluorescent adjacent sections

Fujisawa

Yarilin

Fan

et al. 2015

Journal of Pathology Informatics

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show abstract

“…The other is a microscopic color chart with 9 colors selected by spectral information based on HE stains to be used for monitor calibration and color evaluation/calibration of the WSI scanner ( Figure 8) [33,44,[48][49][50]. Variations in thickness and shape of the sections, and artifacts such as tissue folds are frequent and easily compromise the quality.…”

Section: Standardization Of Wsimentioning

confidence: 99%

Digital imaging in pathology – current applications and challenges

Brachtel

Yagi

2011

Journal of Biophotonics

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Conventional histopathology is rapidly shifting towards digital integration. Will microscopes (and pathologists) soon be obsolete? Or are we dealing with just another image modality that leaves the core of tissue diagnosis intact? This article provides an overview of current digital pathology applications and research with emphasis on whole slide imaging (WSI). Static or interactive digital pathology work stations already can be used for many purposes, e.g. telepathology expert consultations, frozen section diagnosis in remote areas, cytology screening, quality assurance, diagnostic validations for clinical trials, quantitation of hormone receptor or HER2 studies in breast cancer, or three-dimensional visualization of anatomical structures, among others. Changes of workflow in histology laboratories are beginning to enable digital image acquisition and WSI in a routine setting. WSI plays an increasing role in pathology education, glass slide boxes in medical schools are being replaced by digital slide collections; digital slide seminars and virtual microscopy are used for postgraduate and continuing medical education in pathology. Research and efforts to validate WSI systems for diagnostic settings are ongoing.

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“…Briefly, this robotic system consists of consecutive steps monitored by internal sensors. It automatically trims the tissue blocks, sections and mounts the tissue on the slide glass [7]. The advantages of this robotic sectioning system is that each section will have the same thickness, will be positioned with the same coordinates on the glass slide and the risk of section loss is lower than with manual section.…”

Section: Automated Sectioningmentioning

confidence: 99%

A Role of Three-Dimensional (3D)-Reconstruction in the Classification of Lung Adenocarcinoma

Onozato

Klepeis

Yagi

et al. 2012

Analytical Cellular Pathology

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Abstract.Background: Three-dimensional (3D)-reconstruction from paraffin embedded sections has been considered laborious and time-consuming. However, the high-resolution images of large object areas and different fields of view obtained by 3D-reconstruction make one wonder whether it can add a new insight into lung adenocarcinoma, the most frequent histology type of lung cancer characterized by its morphological heterogeneity.Objective:In this work, we tested whether an automated tissue sectioning machine and slide scanning system could generate precise 3D-reconstruction of microanatomy of the lung and help us better understand and define histologic subtypes of lung adenocarcinoma.Methods: Four formalin-fixed human lung adenocarcinoma resections were studied. Paraffin embedded tissues were sectioned with Kurabo Automated tissue sectioning machine and serial sections were automatically stained and scanned with a whole slide imaging system. The resulting stacks of images were 3D reconstructed by Pannoramic Viewer software.Results: Two of the four specimens contained islands of tumor cells detached in alveolar spaces that had not been described in any of the existing adenocarcinoma classifications. 3D-reconstruction revealed the details of spatial distribution and structural interaction of the tumor that could hardly be observed by 2D light microscopy studies. The islands of tumor cells extended into a deeper aspect of the tissue, and were interconnected with each other and with the main tumor with a solid pattern that was surrounded by the islands. The finding raises the question whether the islands of tumor cells should be classified into a solid pattern in the current classification.Conclusion: The combination of new technologies enabled us to build an effective 3D-reconstruction of resected lung adenocarcinomas. 3D-reconstruction may help us refine the classification of lung adenocarcinoma by adding detailed spatial/structural information to 2D light microscopy evaluation.

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Evaluation of a completely automated tissue-sectioning machine for paraffin blocks

Cited by 27 publications

References 2 publications

Understanding the three-dimensional world from two-dimensional immunofluorescent adjacent sections

Understanding the three-dimensional world from two-dimensional immunofluorescent adjacent sections

Digital imaging in pathology – current applications and challenges

A Role of Three-Dimensional (3D)-Reconstruction in the Classification of Lung Adenocarcinoma

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