Jove
Visualize
Contáctanos
JoVE
x logofacebook logolinkedin logoyoutube logo
ACERCA DE JoVE
Visión GeneralLiderazgoBlogCentro de Ayuda JoVE
AUTORES
Proceso de PublicaciónConsejo EditorialAlcance y PolíticasRevisión por ParesPreguntas FrecuentesEnviar
BIBLIOTECARIOS
TestimoniosSuscripcionesAccesoRecursosConsejo Asesor de BibliotecasPreguntas Frecuentes
INVESTIGACIÓN
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchivo
EDUCACIÓN
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualCentro de Recursos para ProfesoresSitio de Profesores
Términos y Condiciones de Uso
Política de Privacidad
Políticas

Videos de Conceptos Relacionados

Distance Corrections01:15

Distance Corrections

297
To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
297
Power Factor Correction01:20

Power Factor Correction

545
The power transmission to a factory involves the transfer of apparent power, a combination of active and reactive power. The power factor measures how effectively electrical power is converted into useful work output. The ratio of the real power (KW) that does the work to the apparent power (KVA) supplied to the circuit.
545
NMR Spectrometers: Resolution and Error Correction01:14

NMR Spectrometers: Resolution and Error Correction

1.1K
When magnetic nuclei in a sample achieve resonance and undergo relaxation, the signal detected in NMR is an approximately exponential free induction decay. Fourier transform of an exponential decay yields a Lorentzian peak in the frequency domain. Lorentzian peaks in an NMR spectrum are defined by their amplitude, full width at half maximum, and position, where the peak width is governed by the spin-spin relaxation time alone. In real experiments, however, the applied magnetic field is rendered...
1.1K
Overview of Cell-Matrix Interactions01:24

Overview of Cell-Matrix Interactions

9.1K
The extracellular matrix or ECM holds cells together to form a tissue and allows the cells within the tissue to communicate. ECM comprises proteins such as fibronectin, collagen, laminin, etc. The most abundant protein in this space is collagen. Collagen fibers are interwoven with carbohydrate-containing protein molecules called proteoglycans. ECM allows cell migration and provides a structural scaffold at cell adhesion that anchors the cell when the extracellular matrix proteins interact with...
9.1K
Predator-Prey Interactions02:39

Predator-Prey Interactions

21.7K
Predators consume prey for energy. Predators that acquire prey and prey that avoid predation both increase their chances of survival and reproduction (i.e., fitness). Routine predator-prey interactions elicit mutual adaptations that improve predator offenses, such as claws, teeth, and speed, as well as prey defenses, including crypsis, aposematism, and mimicry. Thus, predator-prey interactions resemble an evolutionary arms race.
21.7K
piRNA - Piwi-interacting RNAs02:57

piRNA - Piwi-interacting RNAs

7.7K
PIWI-interacting RNAs, or piRNAs, are the most abundant short non-coding RNAs. More than 20,000 genes have been found in humans that code for piRNAs while only 2000 genes have been found for miRNAs. piRNAs can act at the transcriptional and post-transcriptional levels and have a vital role in silencing transposable elements present in germ cells. They are also involved in epigenetic silencing and activation. Previously, they were thought to function only in germ cells but new evidence suggests...
7.7K

También podría leer

Artículos Relacionados

Artículos vinculados a este trabajo por autores compartidos, revista y gráfico de citas.

Ordenar por
Same author

The purine-rich element-binding protein ChPur-α negatively regulates Hsc70 transcription in Crassostrea hongkongensis.

Cell stress & chaperones·2017
Same author

Improved antitumor effect of ionizing radiation in combination with rapamycin for treating nasopharyngeal carcinoma.

Oncology letters·2017
Same author

Roles of Cells from the Arterial Vessel Wall in Atherosclerosis.

Mediators of inflammation·2017
Same author

Metabolic and microbial signatures in rat hepatocellular carcinoma treated with caffeic acid and chlorogenic acid.

Scientific reports·2017
Same author

Arsenic removal in aqueous solution by a novel Fe-Mn modified biochar composite: Characterization and mechanism.

Ecotoxicology and environmental safety·2017
Same author

Antidiabetic activities of polysaccharides separated from Inonotus obliquus via the modulation of oxidative stress in mice with streptozotocin-induced diabetes.

PloS one·2017

Video Experimental Relacionado

Updated: Feb 8, 2026

A Fluorescence Fluctuation Spectroscopy Assay of Protein-Protein Interactions at Cell-Cell Contacts
08:43

A Fluorescence Fluctuation Spectroscopy Assay of Protein-Protein Interactions at Cell-Cell Contacts

Published on: December 1, 2018

12.0K

Conteo Interactivo de Células por Fluorescencia Mediante Corrección Guiada por el Usuario

Haodi Zhong, Rongjing Zhou, Di Wang

    IEEE transactions on bio-medical engineering
    |February 6, 2026
    PubMed
    Resumen
    Este resumen es generado por máquina.

    Este estudio presenta el marco de Conteo Interactivo Adaptativo de Células (AICC), que mejora la precisión del conteo automatizado de células por fluorescencia. AICC reduce significativamente los errores y el tiempo de interacción para imágenes de microscopía complejas.

    Palabras clave:
    conteo de célulasconteo de células por fluorescenciaconteo interactivo de célulasanálisis de imágenesaprendizaje automáticovisión por computadorainvestigación biomédicabiología celular

    Más Videos Relacionados

    Counting and Determining the Viability of Cultured Cells
    05:47

    Counting and Determining the Viability of Cultured Cells

    Published on: June 23, 2008

    23.5K
    Automated Quantification and Analysis of Cell Counting Procedures Using ImageJ Plugins
    11:01

    Automated Quantification and Analysis of Cell Counting Procedures Using ImageJ Plugins

    Published on: November 17, 2016

    49.0K

    Videos de Experimentos Relacionados

    Last Updated: Feb 8, 2026

    A Fluorescence Fluctuation Spectroscopy Assay of Protein-Protein Interactions at Cell-Cell Contacts
    08:43

    A Fluorescence Fluctuation Spectroscopy Assay of Protein-Protein Interactions at Cell-Cell Contacts

    Published on: December 1, 2018

    12.0K
    Counting and Determining the Viability of Cultured Cells
    05:47

    Counting and Determining the Viability of Cultured Cells

    Published on: June 23, 2008

    23.5K
    Automated Quantification and Analysis of Cell Counting Procedures Using ImageJ Plugins
    11:01

    Automated Quantification and Analysis of Cell Counting Procedures Using ImageJ Plugins

    Published on: November 17, 2016

    49.0K

    Área de la Ciencia:

    • Investigación biomédica
    • Biología celular
    • Análisis de imágenes

    Sus antecedentes:

    • El conteo automatizado de células por fluorescencia es crucial pero limitado en precisión y adaptabilidad en microscopía compleja.
    • Los métodos existentes a menudo producen errores en imágenes biológicas intrincadas.

    Objetivo del estudio:

    • Proponer un enfoque adaptativo e interactivo para mejorar la precisión y adaptabilidad del conteo de células por fluorescencia.
    • Superar las limitaciones de las técnicas actuales de conteo celular automatizado.

    Principales métodos:

    • Introducción del marco de Conteo Interactivo Adaptativo de Células (AICC).
    • Desarrollo de algoritmos de corrección global (Expansión de Propuestas y Filtrado de Predicciones) y una métrica de Similitud Estructural Consciente de RGB.
    • Liberación del conjunto de datos NEFCell para la evaluación del conteo celular interactivo.

    Principales resultados:

    • AICC redujo los errores de conteo hasta en un 65,3% en comparación con los métodos interactivos existentes.
    • Mejoró la precisión de la localización en un 7,3% en promedio y minimizó el tiempo de interacción.
    • Demostró una superioridad significativa sobre los métodos de vanguardia.

    Conclusiones:

    • El marco AICC mejora sustancialmente la precisión y la eficiencia en el conteo de células por fluorescencia.
    • AICC integra eficazmente la automatización con la experiencia del usuario para un análisis celular preciso.
    • AICC es una herramienta valiosa para investigadores y clínicos en contextos biomédicos complejos.