Skip to main content

microscopy data processor

Project description

NanoscoPy

An open source repo for the analysis of experimental microscopy data common in materials and surface science.

Example Usage

import nanoscopy as nano
import matplotlib.pyplot as plt

# Specify the file to be imported
filepath_sxm = '../ExampleDataFiles/STM_Au-111_Flat.sxm'

# Read the data
scan = nano.spm.io.read(filepath_sxm)[0]

# Select the forward pass of the height channel from the data
image = scan.data['Z'][0]

# Correct the data
flattened_image = nano.spm.process.basic_flatten(image)

# Show flattened image 
plt.imshow(flattened_image)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

NanoscoPy-0.0.13.tar.gz (28.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

NanoscoPy-0.0.13-py3-none-any.whl (35.5 kB view details)

Uploaded Python 3

File details

Details for the file NanoscoPy-0.0.13.tar.gz.

File metadata

  • Download URL: NanoscoPy-0.0.13.tar.gz
  • Upload date:
  • Size: 28.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for NanoscoPy-0.0.13.tar.gz
Algorithm Hash digest
SHA256 3ee2ed02de9e6126e776ebc10ca876e73da6e6c3337e5ffceb7e3c01bed0b2c1
MD5 5f8359bcc7475e54e2ec37913e52cfb1
BLAKE2b-256 bfa9a74a30a6b4e8154908f082946f29bc5f2b67b3277b8c82a5351fb694b9b5

See more details on using hashes here.

File details

Details for the file NanoscoPy-0.0.13-py3-none-any.whl.

File metadata

  • Download URL: NanoscoPy-0.0.13-py3-none-any.whl
  • Upload date:
  • Size: 35.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for NanoscoPy-0.0.13-py3-none-any.whl
Algorithm Hash digest
SHA256 0bcebd9b9513846d44907c91ccddb5d75e539e88ad903b221b84185af8560333
MD5 b1d4276bbeb491855ccef422aa9121ce
BLAKE2b-256 d0cfd1116ad4c8f14cf25f77742e1f96d40ce7335ebd0a0687aec0359e182eed

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page