{"id":1566,"date":"2024-11-20T02:00:37","date_gmt":"2024-11-20T02:00:37","guid":{"rendered":"https:\/\/www.thermofisher.com\/blog\/atomic-resolution\/?p=1566"},"modified":"2025-07-03T18:31:15","modified_gmt":"2025-07-03T18:31:15","slug":"investigating-ocean-microeukaryotes","status":"publish","type":"post","link":"https:\/\/www.thermofisher.com\/blog\/atomic-resolution\/investigating-ocean-microeukaryotes\/","title":{"rendered":"Investigating the ocean’s micro-eukaryotic life"},"content":{"rendered":"

The importance of microeukaryotes in the ocean<\/strong><\/h2>\n

The exploration of microeukaryotes in the ocean is of paramount importance due to their significant roles in marine ecosystems and global ecological processes. These microorganisms are essential in nutrient cycling and energy flow, and they serve as fundamental components of the marine food web.1<\/sup> Delving into their diversity, distribution, and functionalities, including aspects such as mitochondrial morphology and endomembrane organelles, can lead to transformative advancements in marine biology, ecology, and environmental sciences.<\/p>\n

Whole 3D cell model discovered<\/strong><\/h2>\n

In a recent study,2<\/sup>\u00a0researchers from the Czech Academy of Sciences and the University of South Bohemia (Czech Republic) investigated the diplonemid microeukaryote Lacrimia vacuolate. The usage of fluorescence and electron microscopy technologies combined with image processing software allowed them to reveal the three-dimensional whole-cell model of this newly discovered diplonemid organism. Significantly, the findings include the identification of a new organelle termed colv (Center for Organization of Layered Vesicles) and a complex endomembrane system consisting of diverse vesicles and vacuoles.<\/p>\n

\"Three

Three dimensional structures of organelles, vacuoles and vesicles. 3D reconstruction of 2 \u03bcm-thick slice from array tomography data set shows different organelles vacuoles and vesicles. Nucleus (Nu), mitochondrion (Mt), lipid droplets (Li), posterior vacuole(PV), cytopharynx (Ph) Colv organelle (Or) and smaller vacuole (Va). Image credit doi: 10.1128\/mbio.01921-23<\/a><\/p><\/div>\n

The observation of the cells at different orientations enabled researchers to reveal a single unbranched mitochondrion connected with the cytopharynx structure.<\/p>\n

\"Shape

Shape and detailed structure of the mitochondrion. A) Surface rendering of five cells reconstructed from SBF-SEM data, each showing a single interconnected mitochondrion (orange). B) Connection point between the mitochondrion and the cytopharynx (Ph). Image credit doi: 10.1128\/mbio.01921-23<\/a><\/p><\/div>\n

Despite the mitochondrion spanning a large area, it frequently tapers into thin segments where closely aligned membranes are devoid of visible cristae or matrices. These slender sections connect to thicker regions that feature a dense matrix, prominent DNA aggregates, and cristae structures. The cristae exhibit diverse shapes, such as long parallel layers, short straight or curved layers, and blob-like forms.<\/p>\n

Thermo Scientific Amira Software plays a crucial role in this research by offering sophisticated visualization and analysis tools. Specifically, it supports the detailed examination and interpretation of complex datasets. Amira Software allows researchers to construct intricate 3D reconstructions, perform quantitative analyses, and derive deeper insights into the structural and functional aspects of microeukaryotes, including their mitochondrial morphology and endomembrane organelles. The software’s ability to handle extensive datasets and produce precise 3D reconstructions significantly advanced the research efforts, enabling more accurate and comprehensive findings.<\/p>\n

Understanding the cell biology of microeukaryotes<\/strong><\/h2>\n

This research has led to a deeper understanding of microeukaryotic diplonemid structure and their ecological functions. This enhanced knowledge contributes to the broader scientific understanding of marine ecosystems, potentially leading to novel discoveries in marine biology and environmental science. Furthermore, it underscores the importance of advanced and flexible image processing software like Amira Software in conducting innovative scientific research.<\/p>\n

References and further reading<\/strong><\/h2>\n

1 – Worden, AZ, et al. Rethinking the marine carbon cycle: Factoring in the multifarious lifestyles of microbes.<\/strong> Science 347:6223 (2015). doi: 10.1126\/science.1257594<\/a>
\n2 – Tashyreva, D, et al. Ultrastructure and 3D reconstruction of a diplonemid protist (Diplonemea) and its novel membranous organelle.<\/strong> mBio 14:e01921-23 (2023). doi: 10.1128\/mbio.01921-23<\/a>
\n3 – Amira Software for cell biology<\/a><\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

The importance of microeukaryotes in the ocean The exploration of microeukaryotes in the ocean is of paramount importance due to their significant roles in marine ecosystems and global ecological processes. 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diversity,<\/p>\n","protected":false},"author":1335,"featured_media":1570,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","_monsterinsights_skip_tracking":false,"_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[322,334],"tags":[155,188,133,335,336],"division":[],"class_list":{"0":"post-1566","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-amira-software","8":"category-cell-biology","9":"tag-amira","10":"tag-amira-software","11":"tag-cell-biology","12":"tag-fluorescence-and-electron-microscopy","13":"tag-microeukaryotes","14":"entry"},"_selected_authors":[],"_selected_reviewers":[],"acf":[],"yoast_head":"\nMicroeukaryotes 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Historically, these samples were imaged as thin\u2026","rel":"","context":"In "Amira Software"","block_context":{"text":"Amira Software","link":"https:\/\/admin.acceleratingscience.com\/atomic-resolution\/cryo-electron-microscopy-cryo-em\/amira-software\/"},"img":{"alt_text":"3D Tissue Histology with Light-Sheet Microscopy Enables Nondestructive Analysis of Microglia","src":"https:\/\/i0.wp.com\/admin.acceleratingscience.com\/atomic-resolution\/wp-content\/uploads\/sites\/22\/2026\/01\/neuroscience-blog-header-1920x450-1.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/admin.acceleratingscience.com\/atomic-resolution\/wp-content\/uploads\/sites\/22\/2026\/01\/neuroscience-blog-header-1920x450-1.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/admin.acceleratingscience.com\/atomic-resolution\/wp-content\/uploads\/sites\/22\/2026\/01\/neuroscience-blog-header-1920x450-1.png?resize=525%2C300&ssl=1 1.5x, https:\/\/i0.wp.com\/admin.acceleratingscience.com\/atomic-resolution\/wp-content\/uploads\/sites\/22\/2026\/01\/neuroscience-blog-header-1920x450-1.png?resize=700%2C400&ssl=1 2x, https:\/\/i0.wp.com\/admin.acceleratingscience.com\/atomic-resolution\/wp-content\/uploads\/sites\/22\/2026\/01\/neuroscience-blog-header-1920x450-1.png?resize=1050%2C600&ssl=1 3x, https:\/\/i0.wp.com\/admin.acceleratingscience.com\/atomic-resolution\/wp-content\/uploads\/sites\/22\/2026\/01\/neuroscience-blog-header-1920x450-1.png?resize=1400%2C800&ssl=1 4x"},"classes":[]},{"id":2016,"url":"https:\/\/www.thermofisher.com\/blog\/atomic-resolution\/how-artificial-intelligence-ai-improves-image-analysis-workflows-in-life-sciences\/","url_meta":{"origin":1566,"position":2},"title":"How artificial intelligence (AI) improves image analysis workflows in life sciences","author":"Vinay S","date":"June 2, 2026","format":false,"excerpt":"Image acquisition is not the end of the story\u2014it is the starting point. Once images are captured, researchers typically move into preprocessing to improve quality, then they perform visualization, segmentation, and quantitative analysis to extract meaningful measurements. The goal is simple: turn images into understanding. In practice, however, image analysis\u2026","rel":"","context":"In "Amira Software"","block_context":{"text":"Amira Software","link":"https:\/\/admin.acceleratingscience.com\/atomic-resolution\/cryo-electron-microscopy-cryo-em\/amira-software\/"},"img":{"alt_text":"How artificial intelligence (AI) improves image analysis workflows in life sciences","src":"https:\/\/i0.wp.com\/admin.acceleratingscience.com\/atomic-resolution\/wp-content\/uploads\/sites\/22\/2026\/06\/amira-ai-tools-blog-header-1920x450-1.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/admin.acceleratingscience.com\/atomic-resolution\/wp-content\/uploads\/sites\/22\/2026\/06\/amira-ai-tools-blog-header-1920x450-1.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/admin.acceleratingscience.com\/atomic-resolution\/wp-content\/uploads\/sites\/22\/2026\/06\/amira-ai-tools-blog-header-1920x450-1.png?resize=525%2C300&ssl=1 1.5x, https:\/\/i0.wp.com\/admin.acceleratingscience.com\/atomic-resolution\/wp-content\/uploads\/sites\/22\/2026\/06\/amira-ai-tools-blog-header-1920x450-1.png?resize=700%2C400&ssl=1 2x, https:\/\/i0.wp.com\/admin.acceleratingscience.com\/atomic-resolution\/wp-content\/uploads\/sites\/22\/2026\/06\/amira-ai-tools-blog-header-1920x450-1.png?resize=1050%2C600&ssl=1 3x, https:\/\/i0.wp.com\/admin.acceleratingscience.com\/atomic-resolution\/wp-content\/uploads\/sites\/22\/2026\/06\/amira-ai-tools-blog-header-1920x450-1.png?resize=1400%2C800&ssl=1 4x"},"classes":[]},{"id":2071,"url":"https:\/\/www.thermofisher.com\/blog\/atomic-resolution\/facilitating-soft-tissue-analysis-unraveling-complex-microct-imaging-data-with-amira-software\/","url_meta":{"origin":1566,"position":3},"title":"Facilitating Soft Tissue Analysis \u2013 Unraveling Complex MicroCT Imaging Data with Amira Software","author":"Vinay S","date":"August 27, 2026","format":false,"excerpt":"Key takeaways Micro-computed X-ray tomography (microCT) can be used for high-resolution, 3D visualization of a range of biological samples, including soft tissues, but transforming this data into scientific insights requires the processing of increasingly large, complex datasets. Thermo Scientific Amira Software is a powerful data processing tool that can simplify\u2026","rel":"","context":"In "Amira Software"","block_context":{"text":"Amira Software","link":"https:\/\/admin.acceleratingscience.com\/atomic-resolution\/cryo-electron-microscopy-cryo-em\/amira-software\/"},"img":{"alt_text":"Facilitating Soft Tissue Analysis \u2013 Unraveling Complex MicroCT Imaging Data with Amira Software","src":"https:\/\/i0.wp.com\/admin.acceleratingscience.com\/atomic-resolution\/wp-content\/uploads\/sites\/22\/2026\/08\/blog-soft-tissue-micro-ct-research-header-1920x450-1.jpg?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/admin.acceleratingscience.com\/atomic-resolution\/wp-content\/uploads\/sites\/22\/2026\/08\/blog-soft-tissue-micro-ct-research-header-1920x450-1.jpg?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/admin.acceleratingscience.com\/atomic-resolution\/wp-content\/uploads\/sites\/22\/2026\/08\/blog-soft-tissue-micro-ct-research-header-1920x450-1.jpg?resize=525%2C300&ssl=1 1.5x, https:\/\/i0.wp.com\/admin.acceleratingscience.com\/atomic-resolution\/wp-content\/uploads\/sites\/22\/2026\/08\/blog-soft-tissue-micro-ct-research-header-1920x450-1.jpg?resize=700%2C400&ssl=1 2x, https:\/\/i0.wp.com\/admin.acceleratingscience.com\/atomic-resolution\/wp-content\/uploads\/sites\/22\/2026\/08\/blog-soft-tissue-micro-ct-research-header-1920x450-1.jpg?resize=1050%2C600&ssl=1 3x, https:\/\/i0.wp.com\/admin.acceleratingscience.com\/atomic-resolution\/wp-content\/uploads\/sites\/22\/2026\/08\/blog-soft-tissue-micro-ct-research-header-1920x450-1.jpg?resize=1400%2C800&ssl=1 4x"},"classes":[]},{"id":2117,"url":"https:\/\/www.thermofisher.com\/blog\/atomic-resolution\/advances-in-cryo-electron-tomography-expand-the-capabilities-of-quantitative-cell-biology\/","url_meta":{"origin":1566,"position":4},"title":"Advances in cryo-electron tomography expand the capabilities of quantitative cell biology","author":"Vinay S","date":"September 29, 2026","format":false,"excerpt":"Key takeaways Cryo-electron tomography has largely been seen as a qualitative method because cryo-ET data segmentation has been a highly intensive, manual process. Recent advances in deep-learning-based segmentation have expanded the capabilities of cryo-electron tomography, supporting quantitative analysis of cellular structures. A recent webinar by Professor Danielle Grotjahn highlights how\u2026","rel":"","context":"In "Cryo EM Techniques"","block_context":{"text":"Cryo EM Techniques","link":"https:\/\/admin.acceleratingscience.com\/atomic-resolution\/cryo-electron-microscopy-cryo-em\/cryo-em-techniques\/"},"img":{"alt_text":"Advances in cryo-electron tomography expand the capabilities of quantitative cell biology.","src":"https:\/\/i0.wp.com\/admin.acceleratingscience.com\/atomic-resolution\/wp-content\/uploads\/sites\/22\/2026\/09\/blog-cryo-em-series-header-1920x450-1.jpg?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/admin.acceleratingscience.com\/atomic-resolution\/wp-content\/uploads\/sites\/22\/2026\/09\/blog-cryo-em-series-header-1920x450-1.jpg?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/admin.acceleratingscience.com\/atomic-resolution\/wp-content\/uploads\/sites\/22\/2026\/09\/blog-cryo-em-series-header-1920x450-1.jpg?resize=525%2C300&ssl=1 1.5x, https:\/\/i0.wp.com\/admin.acceleratingscience.com\/atomic-resolution\/wp-content\/uploads\/sites\/22\/2026\/09\/blog-cryo-em-series-header-1920x450-1.jpg?resize=700%2C400&ssl=1 2x, https:\/\/i0.wp.com\/admin.acceleratingscience.com\/atomic-resolution\/wp-content\/uploads\/sites\/22\/2026\/09\/blog-cryo-em-series-header-1920x450-1.jpg?resize=1050%2C600&ssl=1 3x, https:\/\/i0.wp.com\/admin.acceleratingscience.com\/atomic-resolution\/wp-content\/uploads\/sites\/22\/2026\/09\/blog-cryo-em-series-header-1920x450-1.jpg?resize=1400%2C800&ssl=1 4x"},"classes":[]},{"id":2172,"url":"https:\/\/www.thermofisher.com\/blog\/atomic-resolution\/what-is-subtomogram-averaging\/","url_meta":{"origin":1566,"position":5},"title":"What is Subtomogram Averaging?","author":"Swarnim Rawat","date":"October 19, 2026","format":false,"excerpt":"Turning crowded cryo-ET data into structural insight with subtomogram averaging Cryo-electron tomography (cryo-ET) is capable of capturing detailed, three-dimensional views of vitrified biological samples, supporting a broad range of life sciences research. 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