Photo-editing Software
Photo-editing Software - Related Videos
02:23
RNA Editing
0 Views •
2020
RNA editing is a post-transcriptional modification where a precursor mRNA (pre-mRNA) nucleotide sequence is changed by base insertion, deletion, or modification. The extent of RNA editing varies from a few hundred bases, in mitochondrial DNA of trypanosomes, to a just single base, in nuclear genes of mammals. Even a single base change in the pre-mRNA can convert a codon for one amino acid into the codon for another amino acid or a stop codon. This type of re-coding can significantly affect the...
08:31
Genome Editing
0 Views •
2023
A well-established technique for modifying specific sequences in the genome is gene targeting by homologous recombination, but this method can be laborious and only works in certain organisms. Recent advances have led to the development of “genome editing”, which works by inducing double-strand breaks in DNA using engineered nuclease enzymes guided to target genomic sites by either proteins or RNAs that recognize specific sequences. When a cell attempts to repair this damage, mutations can be...
08:50
A Nonsequencing Approach for the Rapid Detection of RNA Editing
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2022
Rapid detection and reliable quantification of RNA editing events at a genomic scale remain challenging and currently rely on direct RNA sequencing methods. The protocol described here uses microtemperature gradient gel electrophoresis (µTGGE) as a simple, quick, and portable method of detecting RNA editing.
07:14
In situ Photo-rheology Monitors Viscoelastic Changes in Photo-responsive Polymer Networks
0 Views •
2025
We describe a procedure used to collect in situ photo-rheology measurements of polymeric materials undergoing photo-responsive liquid-to-solid transitions.
02:58
CRISPR-Mediated Base Editing Tools: A Genome Editing Technique to Induce Targeted Base Substitution
0 Views •
2025
This video explains the concept of CRISPR-mediated cytosine base editors for inducing targeted nucleotide substitution.
FAQs
Layers keep image elements or additions separate, allowing a researcher to adjust one component without necessarily changing the others. Masking controls which parts of a layer remain visible, making it possible to emphasize selected structures while limiting edits to defined regions. Together, these features support organized compositing and selective enhancement in microscopy images, diagrams, and experimental figures.
Raster images represent visual information through pixels, whereas vector graphics represent graphical elements that can be modified as distinct shapes or components. This distinction affects how researchers handle microscopy imagery compared with diagrams of engineered tissues or devices. Choosing operations suited to the image type helps preserve relevant visual features while producing clear, interpretable figures.
Color and contrast adjustments can make existing structures easier to distinguish, while cropping removes peripheral content and resizing changes overall dimensions. Because these operations alter the presentation of visual information, researchers should apply them consistently and avoid changes that could misrepresent experimental results. Their appropriate use improves interpretability and helps standardize figures for communication.
A supported workflow begins by organizing the image, then applying necessary cropping or resizing before making color or contrast adjustments. Layers and masks can separate or limit selected changes, while annotations identify relevant structures. The prepared image can then be incorporated into a figure for communicating results. Each step should preserve the distinction between enhancement and alteration of the data.
Researchers can combine graphical elements into diagrams of engineered tissues and devices, add annotations, and adjust composition so important features are easier to interpret. The same capabilities help assemble microscopy panels and visual documentation of experiments. These applications support standardized presentation and preparation of publication-ready figures without treating visual polish as a substitute for accurate data representation.
Edits should be limited to clearly understood visual operations, such as presentation adjustments or annotations, and their effect on the displayed features should remain clear. Researchers need to distinguish enhancement from changes that could misrepresent data, particularly when emphasizing selected structures. Consistent preparation across figures supports fair comparison and makes the resulting communication more trustworthy.