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@cwood1967
Created May 20, 2020 20:49
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Opening microscopy images in python
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Some examples of opening different types of image files"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### tifffile\n",
"\n",
"Using tifffile consistently opens tiff files saved from ImageJ hyperstacks. It is very easy, just use `tifffile.imread(image_file_name)`\n",
"\n",
"After reading the image, you can see what the shape is. The channel dimension is first for this image."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(3, 2044, 2048)"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from matplotlib import pyplot as plt\n",
"import tifffile\n",
"\n",
"x = tifffile.imread('Images/SUM_QS-GapR-Nhp2-001.tif')\n",
"x.shape"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(19, 3, 2044, 2048)"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"x = tifffile.imread('Images/QS-GapR-Nhp2-001.tif')\n",
"x.shape"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Nikon ND2 Files\n",
"\n",
"To open nd2 files you will need to install pims and nd2reader\n",
"```bash\n",
"pip install pims, nd2reader\n",
"```\n",
"\n",
"The nd2reader uses the pims framework. It is somewhat more involved than just doing an imread(..), but it has the advantage that specific parts of a movie or stack can be read."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"from nd2reader import ND2Reader\n",
"import numpy as np"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Read an nd2 and look its dimensions\n",
"\n",
"Creating the ND2Reader only opens an interface to the file, it doesn't create an image array.\n",
"\n",
"On disk, the file is almost 24 GB:"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/cjw/anaconda3/envs/deep/lib/python3.6/site-packages/nd2reader/common_raw_metadata.py:99: RuntimeWarning: Reported average frame interval (599997.9 ms) doesn't match the set interval (600000.0 ms). Using the average now.\n",
" warnings.warn(message % (avg_interval, interval), RuntimeWarning)\n"
]
},
{
"data": {
"text/plain": [
"{'x': 2048, 'y': 2044, 'c': 3, 't': 86, 'z': 11}"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"nd2 = ND2Reader('/Volumes/LaCie/Quarantine/Lexi/3-18-20/3-17-20_WT-Agar-ON.nd2')\n",
"nd2.sizes"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Read one frame\n",
"\n",
"- Set the bundle axis for the dimensions and order you want to get back.\n",
"\n",
"If you want to get the 45th time frame, in order ZCYX:"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(11, 3, 2044, 2048)"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"nd2.bundle_axes = ['z','c', 'y', 'x']\n",
"f = nd2.get_frame(45)\n",
"f.shape"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"If you want to get a frame and channel, you will need to use bundle_axes and iter_axes.\n",
"\n",
"- bundle_axes is the list of dimensions and their order you want returned\n",
"- iter_axes defines which axes are used to get a frame\n",
"\n",
"Calculating the length of the nd2 object gives how many indices are available\n",
"```len(nd2)```, which would be `num_frames*num_channels` in this case"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(258, 258)"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"nd2.bundle_axes = ['z', 'y', 'x']\n",
"nd2.iter_axes = \"tc\"\n",
"len(nd2), 86*3"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"So `nd2.get_frame(n)` can be indexed from 0 to 258.\n",
"- index=0 is time=0, channel=0\n",
"- index=1 is time=0, channle=1\n",
"- index=2 is time=1, channel=0\n",
"- ...."
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(11, 2044, 2048)\n"
]
}
],
"source": [
"f2 = nd2.get_frame(5)\n",
"print(f2.shape)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"To get all channels for a t,z pair set the bundle_axes iter_axes"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(3, 2044, 2048)"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"nd2.bundle_axes = \"cyx\"\n",
"nd2.iter_axes= \"tz\" # [[t0, z0], [t0, z1], ..., [t0, zn], [t1, z1], ..., [tn, zn]]\n",
"\n",
"f3 = nd2.get_frame(21)\n",
"f3.shape"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### get_frame_2D\n",
"\n",
"You can get a single slice using get_frame_2D; it allows you to specify what t,z,c you want by name"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(2044, 2048)"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"s = nd2.get_frame_2D(t=34, z=6, c=2)\n",
"s.shape"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"To load the whole image into memory, a loop will need to be implemented"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(numpy.float64, {'x': 2048, 'y': 2044, 'c': 3, 't': 1, 'z': 19})"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ndx = ND2Reader('Images/Nse5-SC7-GapR-Nhp2-005.nd2')\n",
"sizes = ndx.sizes\n",
"ndx.pixel_type, sizes"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/cjw/anaconda3/envs/deep/lib/python3.6/site-packages/nd2reader/parser.py:292: UserWarning: ND2 file contains gap frames which are represented by np.nan-filled arrays; to convert to zeros use e.g. np.nan_to_num(array)\n",
" warnings.warn('ND2 file contains gap frames which are represented by np.nan-filled arrays; to convert to zeros use e.g. np.nan_to_num(array)')\n"
]
},
{
"data": {
"text/plain": [
"(1, 19, 3, 2044, 2048)"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ndx.bundle_axes='zcyx'\n",
"ndx.iter_axes = 't'\n",
"n = len(ndx)\n",
"\n",
"shape = (sizes['t'], sizes['z'], sizes['c'], sizes['y'], sizes['x'])\n",
"image = np.zeros(shape, dtype=np.float32)\n",
"for i in range(n):\n",
" image[i] = ndx.get_frame(i)\n",
"image.shape"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.image.AxesImage at 0x1a29a6f28>"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.imshow(image[0,9, 2, 1100:1400,900:1200])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Be aware that an ND2 image might not have all dimensions, so this will need to be accounted for when selecting bundle_axes and iter_axes"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### ND2 metadata\n",
"The image metadata is available as a dictionary with the metadata attribute:"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(datetime.datetime(2020, 3, 19, 17, 0, 45),\n",
" 0.12915540461295294,\n",
" ['561sC', '488sC', 'Transmitted '],\n",
" [3788.9250000000015,\n",
" 3789.2250000000013,\n",
" 3789.5250000000015,\n",
" 3789.825000000001,\n",
" 3790.1250000000014,\n",
" 3790.4250000000015,\n",
" 3790.7250000000013,\n",
" 3791.0250000000015,\n",
" 3791.325000000001,\n",
" 3791.6250000000014,\n",
" 3791.9250000000015,\n",
" 3792.2250000000013,\n",
" 3792.5250000000015,\n",
" 3792.825000000001,\n",
" 3793.1250000000014,\n",
" 3793.4250000000015,\n",
" 3793.7250000000013,\n",
" 3794.0250000000015,\n",
" 3794.300000000001])"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ndx.metadata['date'], ndx.metadata['pixel_microns'], ndx.metadata['channels'], ndx.metadata['z_coordinates']"
]
},
{
"cell_type": "markdown",
"metadata": {
"scrolled": true
},
"source": [
"#### Bioformats with pims\n",
"\n",
"```pip install jpype1```\n",
"\n",
"The first time pims.Bioformats is used, it will download loci_tools.jar.\n",
"\n",
"The JAVA_HOME environmental variable will (maybe?) also need to be set. It is probably possible to set this to the jre/jdk of a local Fiji distribution.\n",
"\n",
"This will have the same behaviour as the nd2 reader"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/cjw/anaconda3/envs/deep/lib/python3.6/site-packages/jpype/_core.py:209: UserWarning: \n",
"-------------------------------------------------------------------------------\n",
"Deprecated: convertStrings was not specified when starting the JVM. The default\n",
"behavior in JPype will be False starting in JPype 0.8. The recommended setting\n",
"for new code is convertStrings=False. The legacy value of True was assumed for\n",
"this session. If you are a user of an application that reported this warning,\n",
"please file a ticket with the developer.\n",
"-------------------------------------------------------------------------------\n",
"\n",
" \"\"\")\n",
"/Users/cjw/anaconda3/envs/deep/lib/python3.6/site-packages/pims/bioformats.py:386: UserWarning: Due to an issue with JPype 0.6.0, reading is slower. Please consider upgrading JPype to 0.6.1 or later.\n",
" warn('Due to an issue with JPype 0.6.0, reading is slower. '\n"
]
}
],
"source": [
"import pims\n",
"import os\n",
"\n",
"os.environ['JAVA_HOME'] = '/Library/Java/JavaVirtualMachines/jdk1.8.0_171.jdk/Contents/Home'\n",
"bf = pims.Bioformats('/Users/cjw/Desktop/imagej_tutorial/mvd2/02142017 nikki.mvd2')"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'x': 512, 'y': 512, 'c': 3}"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bf.sizes"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"((3, 512, 512), array([2143.6685, 2453.3374, 4433.3823], dtype=float32))"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bf.bundle_axes = 'yx'\n",
"bf.iter_axes = 'c'\n",
"\n",
"r = np.zeros((3,512, 512), dtype=np.float32)\n",
"for i in range(3):\n",
" r[i, :,:] = bf.get_frame(i)\n",
"\n",
"r.shape, r.mean(axis=(1,2))"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<MetadataRetrieve> Available loci.formats.meta.MetadataRetrieve functions: ChannelAnnotationRefCount, ChannelCount, ChannelID, ChannelName, ChannelSamplesPerPixel, DatasetCount, DetectorAnnotationRefCount, DetectorCount, DetectorID, DetectorModel, DetectorSettingsID, DichroicCount, ExperimentCount, ExperimenterCount, ExperimenterGroupCount, FilterCount, FilterSetCount, ImageAnnotationRefCount, ImageCount, ImageID, ImageInstrumentRef, ImageName, ImageROIRefCount, InstrumentAnnotationRefCount, InstrumentCount, InstrumentID, LightPathAnnotationRefCount, LightPathEmissionFilterRefCount, LightPathExcitationFilterRefCount, LightSourceCount, MicrobeamManipulationRefCount, ObjectiveAnnotationRefCount, ObjectiveCorrection, ObjectiveCount, ObjectiveID, ObjectiveImmersion, ObjectiveNominalMagnification, ObjectiveSettingsID, PixelsBigEndian, PixelsBinDataBigEndian, PixelsBinDataCount, PixelsDimensionOrder, PixelsID, PixelsInterleaved, PixelsPhysicalSizeX, PixelsPhysicalSizeY, PixelsPhysicalSizeZ, PixelsSignificantBits, PixelsSizeC, PixelsSizeT, PixelsSizeX, PixelsSizeY, PixelsSizeZ, PixelsType, PlaneAnnotationRefCount, PlaneCount, PlaneDeltaT, PlanePositionX, PlanePositionY, PlanePositionZ, PlaneTheC, PlaneTheT, PlaneTheZ, PlateCount, ProjectCount, ROICount, ScreenCount, TiffDataCount"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"meta = bf.metadata\n",
"meta"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.14"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"meta.PixelsPhysicalSizeX(0) # 0 is the series number"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "deep",
"language": "python",
"name": "deep"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.8"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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