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Brooks Richardson
Brooks Richardson

Free Bacteria Images: Discover the Microscopic World of Germs, Viruses, and Cells



Counting colonies on agar plates is a widely used method in microbiology.OpenCFU is a free software that should facilitate (and render more reproducible) the enumeration of colony forming unit (CFU).You can simply run the program on your computer and input pictures of plated bacterial colonies (or other cells).


All our watermarked images are free for use for education, teaching and other purposes, providing they abide by our image licence. Please retain the watermark and acknowledge the source, DermNet. Non-watermarked, high-definition images are available for purchase. If you want to buy an original non-watermarked image, please download, complete and return our image application form. We also invite you to submit your own photos.




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In this page you can download high-quality free Bacteria PNG Images, pictures, pics, photos in different style, size and resolutions. All Bacteria PNG images are displayed below available in 100% PNG transparent white background for free download.


This science photo library of over 4000 free images is from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) in Australia. Categories include astronomy, microscopy, and nature photography. The images are mostly photographs and micrographs which are free to download and use as long as you give the original author credit.


Pixabay is a good source of free science stock images (with the option to pay for higher-resolution photos). There are some high quality diagrams of cells and DNA as well as pictures of scientists at work. They are free to download and use.


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In this review, we describe and compare relevant methods of the image processing pipeline in order to find the most appropriate combination of particular methods for most common label-free microscopic techniques (PC, DIC, HMC and QPI). Our aim is to evaluate and discuss the influence of the commonly used methods for microscopic image reconstruction, foreground-background segmentation, seed-point extraction and cell segmentation. We used real samples - viable, non-stained adherent prostatic cell lines and captured identical fields of view and cells manually segmented by a biologist. Compared to microscopic organisms like yeast or bacteria, adherent cells are morphologically distinctly heterogeneous and in label-free microscopy, the segmentation is therefore still a challenge. We will use the most common imaging modalities used by biologist and we will provide a recommendation of image processing pipeline steps for particular microscopic technique.


Counting circular objects such as cell colonies is an important source of information for biologists. Although this task is often time-consuming and subjective, it is still predominantly performed manually. The aim of the present work is to provide a new tool to enumerate circular objects from digital pictures and video streams. Here, I demonstrate that the created program, OpenCFU, is very robust, accurate and fast. In addition, it provides control over the processing parameters and is implemented in an intuitive and modern interface. OpenCFU is a cross-platform and open-source software freely available at


In the present study, a new algorithm based on recursive research of circular regions over values of threshold of a grey-scale image has been presented, implemented and compared to two alternative methods [10], [13]. Comparison with additional software tools was considered, but, for different reasons, could not be formally performed. Among them, Clono-counter [12] can certainly be useful in some situations; however, it seems inappropriate for analysing numerous or large images. The program does not allow the user to analyse successively several files, and, for instance, using the same mask for different images is not possible. In addition, large images need to be down-scaled before analysis; as an objective comparison between programs requires all methods to process the same images, it was not possible to use Clono-counter. Both CHiTA [11] and Arraycount [5] have probably been very useful to some researchers in the past, but they were both unavailable for download and could not be compared to the present method. The method based on Cell profiler [15] could, in my case, not be adapted through minor alterations in the proposed pipeline. The ImageJ plug-in developed by Sieuwerts et al. [14] involved several human interventions (converting to grey-scale and thresholding). In addition, a general, rather than adaptive, threshold on the grey-scale image was, in my case, not satisfying since background intensity varied between and within plates. For this reason, this plug-in was not included either. Finally, the results presented by S. Brugger and co-workers [16] are promising, but they proposed a colony counter relying on a specific acquisition platform rather than a standalone program capable of processing a range of pictures from different devices.


One app, every park at your fingertips. The NPS App is the new official app for the National Park Service with tools to explore more than 400 national parks nationwide. Find interactive maps, tours of park places, on-the-ground accessibility information, and much more to plan your national park adventures before and during your trip.The NPS App is currently available on iOS and Android mobile devices. It can be downloaded for free through the App Store and Google Play. Since cell reception isn't reliable at Yellowstone National Park, be sure to download the app and save for offline use before coming to the park. This can be done through the toggle switch located at the top of the Yellowstone section of the app.


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Building Performance Standards: A Technical Resource Guide, the first in a series of seven guidebooks, provides technical basis & resources for those developing and implementing a Building Performance Standard (BPS). Now available for free download.


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