Image Magnification

Image magnification is the process of enlarging the apparent size of an object or image so that structures invisible or difficult to distinguish at normal scale can be examined. In biology, optical magnification uses lenses to increase the angular size of a specimen, while digital magnification enlarges image data after capture; neither automatically improves resolution, which depends on the imaging system’s ability to separate nearby details. Magnification supports microscopy of cells, tissues, and microorganisms, helping researchers assess morphology, localization, and structural change. Used with appropriate illumination, contrast, and resolution, it contributes to observation, measurement, and biological analysis.

Image Magnification - Related Videos

Research

JoVE Journal - Bioengineering
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Using Nanoplasmon-Enhanced Scattering and Low-Magnification Microscope Imaging to Quantify Tumor-Derived Exosomes

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Cited by 8 •

2019

Clinical translation of exosome-derived biomarkers for diseased and malignant cells is hindered by the lack of rapid and accurate quantification methods. This report describes the use of low-magnification dark-field microscope images to quantify specific exosome subtypes in small volume serum or plasma samples.

Research

JoVE Journal - Bioengineering

Equibiaxial Stretching Device for High Magnification Live-Cell Confocal Fluorescence Microscopy

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Cited by 1 •

2025

Here, we present a versatile equibiaxial stretching device that is pneumatically actuated and compatible with high-resolution microscopy.

Non-invasive Optical Imaging of the Lymphatic Vasculature of a Mouse

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Cited by 25 •

2013

Recently developed imaging techniques using near-infrared fluorescence (NIRF) may help elucidate the role the lymphatic system plays in cancer metastasis, immune response, wound repair, and other lymphatic-associated diseases.

Hybrid µCT-FMT imaging and image analysis

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Cited by 34 •

2015

We describe a protocol for hybrid imaging, combining fluorescence-mediated tomography (FMT) with micro computed tomography (µCT). After fusion and reconstruction, we perform interactive organ segmentation to extract quantitative measurements of the fluorescence distribution.

Rapid Analysis and Exploration of Fluorescence Microscopy Images

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Cited by 3 •

2014

Here we describe a workflow for rapidly analyzing and exploring collections of fluorescence microscopy images using PhenoRipper, a recently developed image-analysis platform.

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