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Enregistrement W4412911985 · doi:10.1093/mam/ozaf048.410

Unlocking New Potential in Bio-TEM: The Impact of Low Voltage Electron Microscopy and Alternative Staining Methods

2025· article· en· W4412911985 sur OpenAlexaff
Daniela Vieira, Emad Shahnam, Steven Felkoski, Christina Burks, Ru‐ching Hsia, Jared Lapkovsky

Notice bibliographique

RevueMicroscopy and Microanalysis · 2025
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueAdvanced Electron Microscopy Techniques and Applications
Établissements canadiensMcGill UniversityUniversité du Québec à Montréal
Organismes subventionnairesnon disponible
Mots-clésElectron microscopeMaterials scienceTransmission electron microscopyNanotechnologyStainingElectronAnalytical Chemistry (journal)ChemistryOpticsPhysicsChromatographyPathologyMedicineNuclear physics

Résumé

récupéré en direct d'OpenAlex

Electron microscopy (EM) is a powerful imaging technique to understand and investigate the structure and organization of biological samples [1,2]. Among the various EM techniques, Transmission Electron Microscopy (TEM) has been most widely applied technique with relation to biological specimens [3]. TEM provides for visualization of the internal structure and a deeper understanding of the inner organization of biological samples [4]. Traditionally, biological TEM (Bio-TEM) images are acquired using high-voltage TEM (HV-TEM), operated at accelerating voltages of 80 kV or above. HV-TEM can only be carried out on biological samples after extensive sample processing procedures, including sample fixation, dehydration and staining. Biological specimens require contrast enhancement through staining [5,6]. In addition, staining distributes the high energy of the electron beam over a larger area of the sample, reducing beam damage to the sample – which is a challenge for biological specimen [7]. The original TEM staining protocol was introduced over 50 years ago and remains as the most common processing procedure for Bio-TEM [2], where uranyl acetate (UA) is the gold standard staining solution for imaging biological samples [5]. The classic combination of HV-TEMs with UA staining protocols is widely established for providing high resolution and detailed visualization into biological ultrastructure. However, the related disadvantages must be discussed to better understand if Bio-TEM is obligated to continue using guidelines established many decades ago. The HV-TEM is a significant investment, including capital cost, the requirement for complex infrastructure and the need for highly experienced staff. In addition, even though there currently exist an array of different staining procedures [4], these are all with only marginal adaptions to the protocol established in 1974 [6], and by and large, these protocols continue the use of toxic heavy metals, are time-consuming, and are typically performed manually, affecting reproducibility and quality [8,9]. A proposed alternative to the compulsory methodology is to replace expensive HV-TEM systems with Low Voltage Electron Microscopy systems (LVEM), and to eliminate or replace the use of heavy metal stains with lower density and safer alternatives. LVEM employes lower energies than HV-TEM and as such, provides higher contrast and less damage to sensitive soft materials [10]. In this work, LVEM was applied to understand the interaction of macrophages and viruses. To better understand the benefits of combining the use of LVEM and various alternate staining procedures, staining with either the presence or absence of UA was investigated. Briefly, cells were incubated and fixed using a paraformaldehyde and glutaraldehyde solution. After fixation, the cells underwent a series of post-fixation and staining steps, including osmium tetroxide alone or osmium tetroxide with potassium ferrocyanide, followed by “en bloc” UA staining. As a control, the UA staining step was omitted for some specimens. Embedded specimens were sectioning into ultrathin sections and post-stained with UA and lead citrate. The post-stained with UA and lead citrate was omitted for some specimens. Low voltage TEM and STEM images were acquired using the all-in-one LVEM 25E (Delong Instrument, Czech Republic). TEM images were acquired at accelerating voltage of 25 kV. STEM images were acquired at accelerating voltage of 15 kV. High voltage TEM images were acquired using Hitachi HT7800 operating at 80 kV. For all sample preparation methodologies applied, the low voltage approach was sufficient to reveal the internal structure of the cells and to localize the virus particles surround the macrophages. Contrast is particularly good for all images; however, samples submitted to post-stain procedure using UA/Lead showed a slight better delineated contour, exhibiting sharper images when compared to no post-stained samples. For the ultrathin sections, ultrastructural details of the viruses could be revealed in all images. Results were all in accordance with previous literature [7,11]. In particular, for unstained samples, both microscopes provided sufficient resolution to identify the viruses and it was possible to observe nanoscale details of the macrophage’s structure; although the cell ultrastructure was not very well defined in HV-TEM images. Overall, image contrast was satisfactory, indicating that the possibility of modifying the traditional staining procedures, by eliminating or reducing UA, was feasible; however, contrast was weaker on HV-TEM when compared to post-stained samples or unstained samples imaged on the LV-TEM. In conclusion, all the different staining procedures applied in this work allowed the visualization of the macrophages with varying detail, in the HV and LV-TEMs. The absence of UA provided lower contrast for both TEMs, but the reduction was far less significant on LVEM as compared to HV-TEM. Although HV-TEM provided increased resolution and sharpness at higher magnifications; for a virus diagnostic point of view, the low-voltage TEM was demonstrated to be a suitable alternative to high-voltage TEMs. As a diagnostic tool, LVEM showed fast speed of imaging, allowing rapid screening of diagnostic samples.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,008
score de la tête « metaresearch » (Gemma)0,007
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Méthodes · Signal consensuel: Méthodes
Score de désaccord entre enseignants0,008
Score d'incertitude au seuil0,041

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0080,007
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,001
Études des sciences et des technologies0,0010,005
Communication savante0,0050,013
Science ouverte0,0020,004
Intégrité de la recherche0,0030,005
Charge utile insuffisante (le modèle a refusé de juger)0,0070,003

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,006
Tête enseignante GPT0,381
Écart entre enseignants0,375 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreMéthodes

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2025
Routes d'admission1
Résumé présentnon

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