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AMi: a GUI-based, open-source system for imaging samples in multi-well plates
Described here are instructions for building and using an inexpensive automated microscope (AMi) that has been specifically designed for viewing and imaging the contents of multi-well plates. The X, Y, Z translation stage is controlled through dedicated software (AMiGUI) that is being made freely av...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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International Union of Crystallography
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6688666/ https://www.ncbi.nlm.nih.gov/pubmed/31397323 http://dx.doi.org/10.1107/S2053230X19009853 |
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author | Bohm, Andrew |
author_facet | Bohm, Andrew |
author_sort | Bohm, Andrew |
collection | PubMed |
description | Described here are instructions for building and using an inexpensive automated microscope (AMi) that has been specifically designed for viewing and imaging the contents of multi-well plates. The X, Y, Z translation stage is controlled through dedicated software (AMiGUI) that is being made freely available. Movements are controlled by an Arduino-based board running grbl, and the graphical user interface and image acquisition are controlled via a Raspberry Pi microcomputer running Python. Images can be written to the Raspberry Pi or to a remote disk. Plates with multiple sample wells at each row/column position are supported, and a script file for automated z-stack depth-of-field enhancement is written along with the images. The graphical user interface and real-time imaging also make it easy to manually inspect and capture images of individual samples. |
format | Online Article Text |
id | pubmed-6688666 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | International Union of Crystallography |
record_format | MEDLINE/PubMed |
spelling | pubmed-66886662019-08-13 AMi: a GUI-based, open-source system for imaging samples in multi-well plates Bohm, Andrew Acta Crystallogr F Struct Biol Commun Method Communications Described here are instructions for building and using an inexpensive automated microscope (AMi) that has been specifically designed for viewing and imaging the contents of multi-well plates. The X, Y, Z translation stage is controlled through dedicated software (AMiGUI) that is being made freely available. Movements are controlled by an Arduino-based board running grbl, and the graphical user interface and image acquisition are controlled via a Raspberry Pi microcomputer running Python. Images can be written to the Raspberry Pi or to a remote disk. Plates with multiple sample wells at each row/column position are supported, and a script file for automated z-stack depth-of-field enhancement is written along with the images. The graphical user interface and real-time imaging also make it easy to manually inspect and capture images of individual samples. International Union of Crystallography 2019-08-06 /pmc/articles/PMC6688666/ /pubmed/31397323 http://dx.doi.org/10.1107/S2053230X19009853 Text en © Bohm 2019 http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Method Communications Bohm, Andrew AMi: a GUI-based, open-source system for imaging samples in multi-well plates |
title | AMi: a GUI-based, open-source system for imaging samples in multi-well plates |
title_full | AMi: a GUI-based, open-source system for imaging samples in multi-well plates |
title_fullStr | AMi: a GUI-based, open-source system for imaging samples in multi-well plates |
title_full_unstemmed | AMi: a GUI-based, open-source system for imaging samples in multi-well plates |
title_short | AMi: a GUI-based, open-source system for imaging samples in multi-well plates |
title_sort | ami: a gui-based, open-source system for imaging samples in multi-well plates |
topic | Method Communications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6688666/ https://www.ncbi.nlm.nih.gov/pubmed/31397323 http://dx.doi.org/10.1107/S2053230X19009853 |
work_keys_str_mv | AT bohmandrew amiaguibasedopensourcesystemforimagingsamplesinmultiwellplates |