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Enregistrement W2332565566 · doi:10.1097/acm.0b013e31822c0aca

Artistʼs Statement: The Last Supper

2011· article· en· W2332565566 sur OpenAlexaff
Yevgeniya A. Byekova, Brenda H. Welter

Notice bibliographique

RevueAcademic Medicine · 2011
Typearticle
Langueen
DomaineMedicine
ThématiqueAmoebic Infections and Treatments
Établissements canadiensAdvanced Micro Devices (Canada)
Organismes subventionnairesnon disponible
Mots-clésNothingArtVisual artsArt historyPhilosophyEpistemology

Résumé

récupéré en direct d'OpenAlex

I was 10 years old when my grandfather, who was then a professor of pathology at a medical university in the Soviet Union, gave me my first microscope. It was a refurbished 25-year-old light microscope. I have many fond memories of my beginnings in microscopy. I was thrilled to discover the dynamic and incredibly diverse world of microorganisms revealed to me in the drop of puddle water. As I watched that swarming assemblage of ciliates, flagellates, and amoebas on my first slides, I became fascinated with their complex, intricate organization. I remember having a strong desire to capture the images that unraveled before me. I began to fill pages of notebooks with sketches of different tiny critters that captured my imagination. Now, many years later, as a medical student at the University of Alabama in Birmingham, I continue to draw from the set of microscopy skills I learned as a child to study the biology of cancerous cells. Since my first experiences with microscopy, I have advanced to using cutting-edge imaging techniques such as fluorescent confocal microscopy as well as transmission and scanning electron microscopy (SEM). Learning each of these techniques is often a long and tedious process involving days of work in the laboratory followed by hours of searching for the desired frame under the microscope. However, there is nothing more gratifying than obtaining an image that is not only scientifically informative but also reveals the beauty and intricacy of nature in unexpected ways. One of the most stunning modes of visualizing tissue is SEM, which uses the high-energy beam of electrons to probe the surface of specimens yielding unique three-dimensional images of surface topography magnified up to 2,000,000 times. The microphotograph featured on this month's cover represents one of my first attempts at mastering the skill of SEM as a graduate student at Clemson University. During that time, I studied the molecular basis of pathogenicity of a human intestinal parasite, Entamoeba histolytica. This parasite afflicts more than 500 million people worldwide, causing significant morbidity and mortality from diarrheal disease. For example, in Bangladesh, 1 in every 30 children dies of diarrhea or dysentery before the age of 5. The disease can be contracted by ingestion of contaminated food or water that contains E. histolytica spores. Once in the human intestine, this parasite invades the wall of the intestine, causing tissue destruction and bloody diarrhea. The invasiveness of E. histolytica depends on its ability to engulf human red blood cells, bacteria, and other contents of human large intestines. To understand the molecular basis of this organism's ability to invade human intestines, I used a variety of imaging techniques, including SEM, to visualize this process. After several hours of searching for the perfect frame of E. histolytica taking up a human red blood cell, I accidentally stumbled on an unexpected frame of an amoeba engulfing a ball of fungus, which was likely a mere contaminant of the growth media for these parasites. In the background of dormant, sleepy-looking parasites, I captured a single amoeba whose usually smooth outer surface appeared like the gaping mouth of a hungry predator frozen in time while devouring its prey. I was fascinated by this struggle between the two microscopic creatures. To enhance this alien and almost surrealistic microscopic landscape, I used a computerized pseudocoloring technique. When the process was completed, the image before me came to life. Instead of just depicting a certain feeding behavior of this parasite, it became a vibrant story of the interaction between the two inhabitants of a fascinating world of microbes hidden from our naked eye.Figure: The Last SupperExperimenting with different ways of capturing and viewing microscopic photographs has not only become my hobby but has also provided me with a unique way to communicate science to the general public. I have always found it quite challenging to describe my work as a molecular scientist and convey my passion for microbiology to people outside of this field. The art of microphotography now helps me to share my love for molecular science with my colleagues, students, and even family and friends.

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)0,001
score de la tête « metaresearch » (Gemma)0,013
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,350
Score d'incertitude au seuil0,927

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,013
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,001
Études des sciences et des technologies0,0040,001
Communication savante0,0070,003
Science ouverte0,0020,003
Intégrité de la recherche0,0040,006
Charge utile insuffisante (le modèle a refusé de juger)0,3500,210

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 Opus0,070
Tête enseignante GPT0,329
Écart entre enseignants0,259 · 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.

Devis d'étudeSans objet
Domainenon disponible
GenreAutre

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

En bref

Citations0
Publié2011
Routes d'admission1
Résumé présentoui

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