How do I get the best images from my microscope system?
My images aren’t quite right. How do I adjust them?
Join us for a discussion of best practices in brightfield microscopy. This workshop will review and reinforce the imaging processes and post-acquisition processing steps to deliver the best microscope images possible. In this workshop you will learn about microscopy and imaging system techniques, image processing options, and best practices for establishing consistent microscope images for analysis and presentation. Discussion will be augmented with real research examples.
Best Practices for Post-Processing of Scientific Images: Photoshop and ImageJ are NOT the answer (Feb 24, 2016)
Do you post-process your scientific images? Common tools for common adjustments include Photoshop and ImageJ, but they may not be the best answer.
The most common adjustments include:
- white balancing
- normalizing image brightness
- establishing uniformity between images (e.g. for image panels)
- correcting for uneven illumination (a.k.a. flatfield or shading correction)
During this webinar video, you will see case studies involving real-world research projects that illustrate the perils of current image processing choices, and why CHROMACAL is critical for anyone involved with brightfield microscopy.
In research pathology, it is critical that color in photomicrographs and gross images accurately represents what is seen in the specimen. Consistency between images and image color rendering on computer monitors is essential for viewing and evaluating images. Several case studies (both microscopic and macroscopic) illustrate the importance of color calibration to assessments in research studies.
This video is a recording of the morning seminar delivered by Dr. Carlson at the ACVP/ASVCP/STP 2015 Combined Annual Meeting in Minneapolis, MN. Dr. Carlson comments about the poor image reproduction by the LCD projector in the seminar room, but this video was recorded directly from the PC, thus providing accurate image color and avoiding the issues described by Dr. Carlson. Enjoy!
Images are a vital component of scientific research for evaluation, data analysis, visualizing the impact of experimental parameters, and in medicine for assessing disease conditions. Microscope systems generally fall short in providing consistent, quality images that are optimized for color, contrast and brightness. Adobe® Photoshop® or other image editing software is commonly used to correct for image insufficiencies, but consequences exist.
The speakers will review the common mistakes encountered when using Photoshop for science, and offer tips — with personal experience — to achieve consistency and high quality in your imaging process, and help you avoid the 5 common mistakes altogether!
The quantitative assessment of tissue features has become one of the hallmarks of Digital Pathology. Image analysis, however, can only be as accurate as the image acquisition that precedes it. Whole slide imaging and scanner systems are now offered by a variety of vendors and these instruments differ in speed, degree of automation, image quality and consistency, slide capacity and, last but not least, price. However, accuracy, linearity and long-term reliability are not easily user-verifiable. This webinar will address the use of a standard color slide for quality control purposes and – when necessary – imaging system adjustments. The principles discussed in this webinar apply both to digital whole slide scanning as well as traditional digital microscope imaging.