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Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

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Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
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Machines01:19

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Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
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Imaging Studies VII: Vascular Imaging01:19

Imaging Studies VII: Vascular Imaging

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DefinitionRenal angiography, also known as renal arteriography, is an imaging technique used to obtain a comprehensive view of blood flow and the vascular structure of blood vessels in the kidneys and surrounding areas.PurposeRenal angiography detects blood vessel abnormalities in the kidneys, such as aneurysms, stenosis, thrombosis, vascular tumors, and renal artery stenosis. It evaluates kidney function and guides interventional treatments like angioplasty or stent placement.Pre-Procedure...
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Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
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X-ray Imaging01:24

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German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with...
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Brain Imaging01:14

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Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
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Video Experimental Relacionado

Updated: Jan 29, 2026

A Custom Multiphoton Microscopy Platform for Live Imaging of Mouse Cornea and Conjunctiva
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Evaluación de la comparabilidad de imágenes habilitada por aprendizaje automático para microscopía de imágenes de

Zhenhao Zhou1, Sha Guo2, Youli Tian3

  • 1School of Pharmaceutical Engineering, Shenyang Pharmaceutical University, Shenyang 110016, China.

Pharmaceuticals (Basel, Switzerland)
|January 28, 2026
PubMed
Resumen
Este resumen es generado por máquina.

La microscopía de imágenes de flujo (FIM) ofrece una alternativa prometedora para el análisis de partículas subvisibles en biofarmacéuticos. Este estudio desarrolló una estrategia para el conteo de partículas consistente en diferentes instrumentos FIM, ayudando en los esfuerzos de estandarización.

Palabras clave:
microscopía de imágenes de flujo (FIM)biofarmacéuticos inyectablesaprendizaje automáticoestudio de estandarizaciónpartículas subvisibles

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Área de la Ciencia:

  • Análisis biofarmacéutico
  • Química analítica
  • Técnicas de microscopía

Sus antecedentes:

  • El desarrollo biofarmacéutico requiere un control de calidad riguroso, siendo las partículas subvisibles un atributo crítico.
  • Los métodos farmacopeicos actuales (Obscuración por Luz, Recuento de Partículas Microscópicas) tienen limitaciones para necesidades analíticas avanzadas.
  • La microscopía de imágenes de flujo (FIM) presenta una alternativa potencial, pero la estandarización está en curso.

Objetivo del estudio:

  • Evaluar la consistencia y transferibilidad del recuento de partículas entre diferentes plataformas de microscopía de imágenes de flujo (FIM).
  • Evaluar la viabilidad del análisis estandarizado de partículas subvisibles utilizando la tecnología FIM.
  • Explorar la consistencia de la clasificación de imágenes para datos FIM entre fabricantes.

Principales métodos:

  • Estandarización de instrumentos y evaluación de la consistencia utilizando estándares de microesferas de poliestireno e inmunoglobulina intravenosa.
  • Pruebas paralelas de instrumentos FIM de diferentes fabricantes.
  • Clasificación de imágenes de partículas utilizando redes neuronales convolucionales y reducción de dimensionalidad UMAP.

Principales resultados:

  • Se desarrolló una estrategia de transferencia para obtener resultados consistentes de recuento de partículas en plataformas FIM.
  • La clasificación de imágenes de partículas demostró consistencia en la categorización, pero resaltó desafíos en el reconocimiento entre plataformas.
  • El estudio confirmó el potencial para un análisis confiable de partículas subvisibles con FIM.

Conclusiones:

  • Los hallazgos contribuyen a la estandarización de la microscopía de imágenes de flujo para el control de calidad biofarmacéutico.
  • FIM muestra una gran promesa como herramienta analítica confiable para la caracterización de partículas subvisibles.
  • Se necesita un mayor desarrollo para estandarizar completamente el reconocimiento de imágenes entre plataformas en FIM.