Image Processing Photoshop
Image Processing Photoshop - Related Videos
10:09
EasyFiji: A Graphical Interface for User-Friendly Fluorescence Image Processing in Fiji
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2026
EasyFiji is a graphical user interface plugin for Fiji (ImageJ) that provides a curated suite of fluorescence image visualization and processing tools frequently utilized by life scientists.
08:24
Experimental Assessment of Mouse Sociability Using an Automated Image Processing Approach
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2016
This protocol describes a method to quantify mouse sociability. Mice are videotaped as they move and interact in a special cage. Movie processing allows for the automated quantification of sociability with excellent accuracy and reliability.
16:44
Imaging Cell Membrane Injury and Subcellular Processes Involved in Repair
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Cited by 47 •
2014
The process of healing injured cells involves trafficking of specific proteins and subcellular compartments to the site of cell membrane injury. This protocol describes assays to monitor these processes.
08:31
Horizontal Whole Mount: A Novel Processing and Imaging Protocol for Thick, Three-dimensional Tissue Cross-sections of Skin
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Cited by 14 •
2017
This work presents a novel processing and imaging protocol for thick, three-dimensional tissue cross-section analysis that enables the full exploitation of confocal imaging modalities. This protocol preserves antigenicity and represents a robust system to analyze skin histology and potentially other tissue types.
08:07
Culturing, Freezing, Processing, and Imaging of Entire Organoids and Spheroids While Still in a Hydrogel
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Cited by 1 •
2022
The present study describes methodologies for culturing, freezing, thawing, processing, staining, labeling, and examining entire spheroids and organoids under various microscopes, while they remain intact in a hydrogel within a multipurpose device.
FAQs
Color channels separate an image into component color information, allowing researchers to inspect or adjust particular aspects of the image. Layers keep edits, labels, and assembled figure elements separate from the underlying image, so changes remain editable. Together, these features help organize microscopy data and support clearer comparisons without immediately altering the original file.
Brightness, contrast, color, and sharpness controls change how image features appear to the viewer. Brightness and contrast can improve visibility, while color and sharpness influence visual emphasis and presentation. Because these adjustments can change apparent structure or intensity, researchers should distinguish presentation improvements from measurements and avoid treating an enhanced appearance as quantitative evidence.
Selections identify specific image regions for localized editing, helping researchers work on part of a cell, tissue, or experimental image without applying the same change everywhere. Maintaining layers and editable versions preserves the workflow, makes revisions possible, and helps separate labels or figure assembly from the image data being presented.
A careful workflow begins by retaining the original image, then uses layers, selections, and adjustment controls for the intended presentation change. Researchers should assemble and label figures in an organized editable file, compare images consistently, and record the adjustments applied. This sequence supports transparent communication while reducing the risk that processing obscures the underlying evidence.
In microscopy, Photoshop can prepare images for inspection, comparison, and figure presentation. Researchers may adjust brightness, contrast, color, or sharpness, organize multiple images, and add labels that clarify cells, tissues, or experimental conditions. The resulting figure can communicate patterns more effectively, but the processed image should remain distinguishable from data intended for quantitative analysis.
Researchers should clearly describe the adjustments used and preserve the original files so viewers can understand how the presented image differs from the source. Comparisons should not imply that a visual enhancement represents a measured biological difference. Reporting the workflow strengthens interpretation, allows revisions, and helps readers judge whether the figure communicates evidence without misrepresentation.