![]() For example, it is now feasible to perform functional genomics screens by capturing a microscopic phenotype of cells in which each gene has been knocked out or knocked down systematically. Combining the richness of visualization approaches with various experimental strategies creates nearly endless options for generating biological insights ( Fig. In addition, the technological advance of biological tools and microscopic platforms now enables screens to be performed in an array of genetic backgrounds, under different growth conditions and at various time points, as well as allowing the comparison of multiple tissues, cell lines or organisms. At the basis of this capability lies the ever-growing variety of labeling methods (discussed below) that allow visualization of cellular architecture and function, as well as developmental or behavioral processes ( Fig. High-throughput microscopy can be employed to address a wide spectrum of biological questions. Such advances are placing HCS methodologies at the frontier of high-throughput science and enable scientists to combine throughput with content to address a variety of cell biological questions. In this Commentary, we will discuss recent work, which has used HCS, to demonstrate the diversity of applications and technological solutions that are evolving in this field. These features make HCS a powerful method to create data that is rich and biologically meaningful without compromising systematic capabilities. Moreover, it allows the visualization of an enormous array of cellular features and provides tools to quantify a large number of parameters for each cell. High-throughput microscopy, also often referred to as high-content screening (HCS), allows acquisition of systematic data at the single-cell level. The ease with which data can now be generated has led to a new culture of high-throughput science, in which new types of biological questions can be asked and tackled in a systematic and unbiased manner. Therefore, unless I am missing something, there is no way to install CellProfiler on Linux in 2020.The increasing availability and performance of automated scientific equipment in the past decades have brought about a revolution in the biological sciences. Self.startup_blurb_frame = WelcomeFrame(self)įile "/home/tyler/lib/anaconda3/envs/cellprofiler/lib/python3.8/site-packages/cellprofiler/gui/_welcome_frame.py", line 29, in _init_ ame = CPFrame(None, -1, "CellProfiler")įile "/home/tyler/lib/anaconda3/envs/cellprofiler/lib/python3.8/site-packages/cellprofiler/gui/cpframe.py", line 348, in _init_ ImportError: libmysqlclient.so.18: cannot open shared object file: No such file or directoryįile "/home/tyler/lib/anaconda3/envs/cellprofiler/lib/python3.8/site-packages/cellprofiler/gui/app.py", line 60, in OnInit This package looks awesome and excited to use once installed, thank you!Ġ6:03:39 PM: Debug: Adding duplicate image handler for 'Windows bitmap file'Ġ6:03:39 PM: Debug: Adding duplicate animation handler for '1' typeĠ6:03:39 PM: Debug: Adding duplicate animation handler for '2' typeįile "/home/tyler/lib/anaconda3/envs/cellprofiler/lib/python3.8/site-packages/cellprofiler/modules/exporttodatabase.py", line 154, in įile "/home/tyler/lib/anaconda3/envs/cellprofiler/lib/python3.8/site-packages/MySQLdb/_init_.py", line 18, in If the latter, how: via instructions above.Downloaded from the website or installed from source: source.Running command git checkout -b v3.1.9 -track origin/v3.1.9īranch 'v3.1.9' set up to track remote branch 'v3.1.9' from 'origin'.ĮRROR: Command errored out with exit status 1:Ĭommand: /home/tyler/lib/anaconda3/envs/cellprofiler/bin/python -c 'import sys, setuptools, tokenize sys.argv = '"'"'/tmp/pip-install-nMfkYA/centrosome/setup.py'"'"' _file_='"'"'/tmp/pip-install-nMfkYA/centrosome/setup.py'"'"' f=getattr(tokenize, '"'"'open'"'"', open)(_file_) code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"') f.close() exec(compile(code, _file_, '"'"'exec'"'"'))' egg_info -egg-base /tmp/pip-install-nMfkYA/centrosome/pip-egg-infoįile "/tmp/pip-install-nMfkYA/centrosome/setup.py", line 84ĮRROR: Command errored out with exit status 1: python setup.py egg_info Check the logs for full command output.ĭesktop (please complete the following information): Running command git clone -q /tmp/pip-req-build-TFuPLw More details about Python 2 support in pip, can be found at A future version of pip will drop support for Python 2.7. ![]() Please upgrade your Python as Python 2.7 won't be maintained after that date. DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020.
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