Deep learning-based computational histology staining using spatial light interference microscopy (SLIM) Data (Conference Presentation)

2020 ◽  
Author(s):  
Michael J. Fanous ◽  
Hassaan Majeed ◽  
Yuchen R. He ◽  
Nahil Sobh ◽  
Gabriel Popescu
Keyword(s):  
Deep Learning ◽  
Interference Microscopy ◽  
Light Interference

scholarly journals Monitoring Reactivation of Latent HIV by Label-Free Gradient Light Interference Microscopy

iScience ◽  
2021 ◽  
pp. 102940
Author(s):  
Neha Goswami ◽  
Yiyang Lu ◽  
Mikhail E. Kandel ◽  
Michael J. Fanous ◽  
Kathrin Bohn-Wippert ◽  
...  
Keyword(s):  
Interference Microscopy ◽  
Label Free ◽  
Light Interference ◽  
Latent Hiv

scholarly journals Quantifying myelin content in brain tissue using color Spatial Light Interference Microscopy (cSLIM)

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0241084
Author(s):  
Michael Fanous ◽  
Megan P. Caputo ◽  
Young Jae Lee ◽  
Laurie A. Rund ◽  
Catherine Best-Popescu ◽  
...  
Keyword(s):  
Gestational Age ◽  
Internal Capsule ◽  
Interference Microscopy ◽  
Tissue Sections ◽  
Light Interference ◽  
Appropriate For Gestational Age ◽  
Tissue Lipids ◽  
High Risk Infants ◽  
Mri Study ◽  
The Brain

Deficient myelination of the brain is associated with neurodevelopmental delays, particularly in high-risk infants, such as those born small in relation to their gestational age (SGA). New methods are needed to further study this condition. Here, we employ Color Spatial Light Interference Microscopy (cSLIM), which uses a brightfield objective and RGB camera to generate pathlength-maps with nanoscale sensitivity in conjunction with a regular brightfield image. Using tissue sections stained with Luxol Fast Blue, the myelin structures were segmented from a brightfield image. Using a binary mask, those portions were quantitatively analyzed in the corresponding phase maps. We first used the CLARITY method to remove tissue lipids and validate the sensitivity of cSLIM to lipid content. We then applied cSLIM to brain histology slices. These specimens are from a previous MRI study, which demonstrated that appropriate for gestational age (AGA) piglets have increased internal capsule myelination (ICM) compared to small for gestational age (SGA) piglets and that a hydrolyzed fat diet improved ICM in both. The identity of samples was blinded until after statistical analyses.

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