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Data from "Deep learning classification of lipid droplets in quantitative phase images"

Energy
Life Science
Tools & Code
Data supporting manuscript from L. Sheneman, G. Stephanopoulos, A.E. Vasdekis titled "Deep learning classification of lipid droplets in quantitative phase images" as currently under review at PLOS ONE. This includes: 1) raw and binary labeled Quantitative Phase Images (QPI) of Y. lipolytica cells used in the analyses described within the manuscript. 2) various derived data including classifier scores, etc.

Data and Resources

deep learning
lipid
quantitative phase images
QPI
convolutional neural networks
machine learning
random forest
neural network
microscopy
biofuels
segmentation
computer vision
semantic segmentation
classification
gradient boosting
linear discriminant analysis
support vector machines
multilayer perceptron
CNN
XGBoost
SVM
LDA
ANN
FieldValue
Modified
2021-01-08
Release Date
2020-12-30
Identifier
d4cc1faf-3360-4084-a4d6-9ce7b5a6c450
Language
English (United States)
License
Creative Commons Attribution Non-Commercial Share-Alike
Contact Name
Luke Sheneman
Contact Email
sheneman@uidaho.edu
Public Access Level
Public
DOI
https://doi.org/10.7923/3d0d-yb04
Related Content: 
Deep Learning Classification of Lipid Droplets in Quantitative Phase Images
Data available on:: 
Wednesday, December 30, 2020