Label-free live brain imaging with ultrafast nonlinear microscopy

2010 ◽  
Author(s):  
S. Witte ◽  
A. Negrean ◽  
J.C. Lodder ◽  
G.T. Silva ◽  
C.P.J. de Kock ◽  
...  
Keyword(s):  
Brain Imaging ◽  
Nonlinear Microscopy ◽  
Label Free

Non-invasive label-free investigation and typing of head and neck cancers by multimodal nonlinear microscopy

2012 ◽  
Author(s):  
Tobias Meyer ◽  
Nadine Vogler ◽  
Benjamin Dietzek ◽  
Denis Akimov ◽  
Johanna Inhestern ◽  
...  
Keyword(s):  
Head And Neck ◽  
Head And Neck Cancers ◽  
Nonlinear Microscopy ◽  
Label Free ◽  
Non Invasive

scholarly journals Label-free imaging of age-related cardiac structural changes in non-human primates using multiphoton nonlinear microscopy

2021 ◽  
Author(s):  
Amara Khan ◽  
Fernanda Ramos-Gomes ◽  
Andrea Markus ◽  
Matthias Mietsch ◽  
Rabea Hinkel ◽  
...  
Keyword(s):  
Structural Changes ◽  
Nonlinear Microscopy ◽  
Label Free ◽  
Age Related

Melanin-targeted nonlinear microscopy for label-free molecular diagnosis and staging

2016 ◽  
Author(s):  
Warren S. Warren ◽  
Francisco Robles ◽  
Martin Fischer ◽  
Jesse Wilson ◽  
Sanghamitra Deb ◽  
...  
Keyword(s):  
Molecular Diagnosis ◽  
Nonlinear Microscopy ◽  
Label Free

scholarly journals Label-free near-infrared reflectance microscopy as a complimentary tool for two-photon fluorescence brain imaging

2015 ◽  
Vol 6 (11) ◽  
pp. 4483 ◽  
Author(s):  
Anna Letizia Allegra Mascaro ◽  
Irene Costantini ◽  
Emilia Margoni ◽  
Giulio Iannello ◽  
Alessandro Bria ◽  
...  
Keyword(s):  
Brain Imaging ◽  
Near Infrared ◽  
Infrared Reflectance ◽  
Label Free ◽  
Near Infrared Reflectance ◽  
Two Photon ◽  
Two Photon Fluorescence ◽  
Reflectance Microscopy ◽  
Photon Fluorescence

scholarly journals Label-free live brain imaging and targeted patching with third-harmonic generation microscopy

2011 ◽  
Vol 108 (15) ◽  
pp. 5970-5975 ◽  
Author(s):  
S. Witte ◽  
A. Negrean ◽  
J. C. Lodder ◽  
C. P. J. de Kock ◽  
G. Testa Silva ◽  
...  
Keyword(s):  
Brain Imaging ◽  
Harmonic Generation ◽  
Third Harmonic Generation ◽  
Label Free ◽  
Third Harmonic ◽  
Third Harmonic Generation Microscopy

scholarly journals Three-Dimensional Convolutional Autoencoder Extracts Features of Structural Brain Images With a “Diagnostic Label-Free” Approach: Application to Schizophrenia Datasets

2021 ◽  
Vol 15 ◽  
Author(s):  
Hiroyuki Yamaguchi ◽  
Yuki Hashimoto ◽  
Genichi Sugihara ◽  
Jun Miyata ◽  
Toshiya Murai ◽  
...  
Keyword(s):  
Psychiatric Disorders ◽  
Brain Imaging ◽  
Spatial Information ◽  
Three Dimensional ◽  
Clinical Information ◽  
Label Free ◽  
Brain Images ◽  
Convolutional Autoencoder ◽  
Mri Scans ◽  
Magnetic Resonance Imaging Mri

There has been increasing interest in performing psychiatric brain imaging studies using deep learning. However, most studies in this field disregard three-dimensional (3D) spatial information and targeted disease discrimination, without considering the genetic and clinical heterogeneity of psychiatric disorders. The purpose of this study was to investigate the efficacy of a 3D convolutional autoencoder (3D-CAE) for extracting features related to psychiatric disorders without diagnostic labels. The network was trained using a Kyoto University dataset including 82 patients with schizophrenia (SZ) and 90 healthy subjects (HS) and was evaluated using Center for Biomedical Research Excellence (COBRE) datasets, including 71 SZ patients and 71 HS. We created 16 3D-CAE models with different channels and convolutions to explore the effective range of hyperparameters for psychiatric brain imaging. The number of blocks containing two convolutional layers and one pooling layer was set, ranging from 1 block to 4 blocks. The number of channels in the extraction layer varied from 1, 4, 16, and 32 channels. The proposed 3D-CAEs were successfully reproduced into 3D structural magnetic resonance imaging (MRI) scans with sufficiently low errors. In addition, the features extracted using 3D-CAE retained the relation to clinical information. We explored the appropriate hyperparameter range of 3D-CAE, and it was suggested that a model with 3 blocks may be related to extracting features for predicting the dose of medication and symptom severity in schizophrenia.

scholarly journals Three‐photon‐resonance‐enhanced third‐harmonic generation for label‐free deep‐brain imaging: In search of a chemical contrast

2019 ◽  
Vol 50 (9) ◽  
pp. 1296-1302 ◽  
Author(s):  
Aleksandr A. Lanin ◽  
Artem S. Chebotarev ◽  
Matvey S. Pochechuev ◽  
Ilya V. Kelmanson ◽  
Andrei B. Fedotov ◽  
...  
Keyword(s):  
Brain Imaging ◽  
Harmonic Generation ◽  
Third Harmonic Generation ◽  
Label Free ◽  
Third Harmonic ◽  
Photon Resonance ◽  
Deep Brain
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