Back Cover: A novel multiphoton microscopy images segmentation method based on superpixel and watershed (J. Biophotonics 4/2017)

2017 ◽  
Vol 10 (4) ◽  
pp. 608-608
Keyword(s):  
Multiphoton Microscopy ◽  
Segmentation Method ◽  
Back Cover ◽  
Microscopy Images

A novel multiphoton microscopy images segmentation method based on superpixel and watershed

2016 ◽  
Vol 10 (4) ◽  
pp. 532-541 ◽  
Author(s):  
Weilin Wu ◽  
Jinyong Lin ◽  
Shu Wang ◽  
Yan Li ◽  
Mingyu Liu ◽  
...  
Keyword(s):  
Multiphoton Microscopy ◽  
Segmentation Method ◽  
Microscopy Images

Non-rigid registration of multiphoton microscopy images using B-splines

2011 ◽  
Author(s):  
Kevin S. Lorenz ◽  
Paul Salama ◽  
Kenneth W. Dunn ◽  
Edward J. Delp
Keyword(s):  
Multiphoton Microscopy ◽  
B Splines ◽  
Rigid Registration ◽  
Microscopy Images

scholarly journals Analysis on the characterization of multiphoton microscopy images for malignant neoplastic colon lesion detection under deep learning methods

2021 ◽  
Vol 12 (1) ◽  
pp. 27
Author(s):  
Elena Terradillos ◽  
CristinaL Saratxaga ◽  
Sara Mattana ◽  
Riccardo Cicchi ◽  
FrancescoS Pavone ◽  
...  
Keyword(s):  
Deep Learning ◽  
Multiphoton Microscopy ◽  
Lesion Detection ◽  
Learning Methods ◽  
Colon Lesion ◽  
Microscopy Images

scholarly journals Improving Multiphoton Microscopy by Combining Spherical Aberration Patterns and Variable Axicons

Photonics ◽  
2021 ◽  
Vol 8 (12) ◽  
pp. 573
Author(s):  
Juan M. Bueno ◽  
Geovanni Hernández ◽  
Martin Skorsetz ◽  
Pablo Artal
Keyword(s):  
High Resolution ◽  
Spherical Aberration ◽  
Multiphoton Microscopy ◽  
Biological Tissues ◽  
Optical Sectioning ◽  
Established Method ◽  
Non Invasive ◽  
Microscopy Images ◽  
Better Than

Multiphoton (MP) microscopy is a well-established method for the non-invasive imaging of biological tissues. However, its optical sectioning capabilities are reduced due to specimen-induced aberrations. Both the manipulation of spherical aberration (SA) and the use of axicons have been reported to be useful techniques to bypass this limitation. We propose the combination of SA patterns and variable axicons to further improve the quality of MP microscopy images. This approach provides enhanced images at different depth locations whose quality is better than those corresponding to the use of SA or axicons separately. Thus, the procedure proposed herein facilitates the visualization of details and increases the depth observable at high resolution.

scholarly journals Cellpose: a generalist algorithm for cellular segmentation

2020 ◽  
Author(s):  
Carsen Stringer ◽  
Tim Wang ◽  
Michalis Michaelos ◽  
Marius Pachitariu
Keyword(s):  
Deep Learning ◽  
Training Data ◽  
Data Repository ◽  
Biological Applications ◽  
Segmentation Method ◽  
Wide Range ◽  
Great Progress ◽  
Microscopy Images ◽  
2D Model

Many biological applications require the segmentation of cell bodies, membranes and nuclei from microscopy images. Deep learning has enabled great progress on this problem, but current methods are specialized for images that have large training datasets. Here we introduce a generalist, deep learning-based segmentation method called Cellpose, which can precisely segment cells from a wide range of image types and does not require model retraining or parameter adjustments. We trained Cellpose on a new dataset of highly-varied images of cells, containing over 70,000 segmented objects. We also demonstrate a 3D extension of Cellpose which reuses the 2D model and does not require 3D-labelled data. To support community contributions to the training data, we developed software for manual labelling and for curation of the automated results, with optional direct upload to our data repository. Periodically retraining the model on the community-contributed data will ensure that Cellpose improves constantly.

scholarly journals Automated classification of multiphoton microscopy images of ovarian tissue using deep learning

2018 ◽  
Vol 23 (06) ◽  
pp. 1 ◽  
Author(s):  
Mikko J. Huttunen ◽  
Abdurahman Hassan ◽  
Curtis W. McCloskey ◽  
Sijyl Fasih ◽  
Jeremy Upham ◽  
...  
Keyword(s):  
Deep Learning ◽  
Ovarian Tissue ◽  
Multiphoton Microscopy ◽  
Automated Classification ◽  
Microscopy Images
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