Optimization of Brain Tissue Section Preparation and Raman Spectroscopy Measurement Protocols

Author(s):  
Hülya Torun ◽  
Buse Bilgin ◽  
Kemal Baysal ◽  
İbrahim Kulaç ◽  
İhsan Solaroğlu ◽  
...  
2021 ◽  
Vol 1142 ◽  
pp. 38-47
Author(s):  
Erteng Jia ◽  
Ying Zhou ◽  
Huajuan Shi ◽  
Min Pan ◽  
Xiangwei Zhao ◽  
...  

The Analyst ◽  
2021 ◽  
Author(s):  
Ibrahim Kaya ◽  
Eva Jennische ◽  
Stefan Lange ◽  
Per Malmberg

ToF-SIMS and/or MALDI-ToF imaging mass spectrometry of a single brain tissue section followed by classical- or immuno- histochemical staining.


1993 ◽  
Vol 41 (4) ◽  
pp. 489-498 ◽  
Author(s):  
A Trembleau ◽  
D Roche ◽  
A Calas

We describe here a simple method for combining non-radioactive and radioactive in situ hybridization and immunohistochemistry on the same brain tissue section. This approach was first developed on the well-characterized hypothalamo-neurohypophyseal system, facilitating the optimization of the triple-labeling procedure and the verification of labeling specificity. We report the simultaneous detection of vasopressin (VP) mRNA with a digoxigenin-labeled oligonucleotide, oxytocin (OT) mRNA with a 35S-labeled oligonucleotide, and OT peptide in the same 12-microns cryostat section. This was performed on floating sections as follows: first, the two probes were hybridized simultaneously; second, the peptide was detected with an immunoperoxidase-DAB procedure; third, the digoxigenin-labeled probe was detected with an alkaline phosphatase-NBT/BCIP technique; and finally, the 35S-labeled probe was detected by histological autoradiography. We also demonstrate that this approach is suitable for the simultaneous detection of tyrosine hydroxylase and two less abundant mRNAs, vasoactive intestinal peptide and vasopressin mRNAs, in the suprachiasmatic nucleus. The combination of the three techniques did not significantly diminish their specificity or sensitivity. In conclusion, this new method, permitting the simultaneous detection of three different products of gene expression in the same section, could be useful for further analysis of the phenotypic organization and its plasticity in endocrine or neural tissues.


Author(s):  
Brandy Broadbent ◽  
Michelle A. Brusatori ◽  
Kiran Koya ◽  
Lisa M. Scarpace ◽  
Steven N. Kalkanis ◽  
...  

2014 ◽  
Vol 12 (s1) ◽  
pp. S13001-313003 ◽  
Author(s):  
Shupeng Liu Shupeng Liu ◽  
Lianxin Li Lianxin Li ◽  
Zhenyi Chen Zhenyi Chen ◽  
Na Chen Na Chen ◽  
Zhangmin Dai Zhangmin Dai ◽  
...  

2020 ◽  
Vol 154 (Supplement_1) ◽  
pp. S114-S114
Author(s):  
S Iyiola ◽  
O Aremu ◽  
J A Onifade

Abstract Introduction/Objective Lifting of tissue section during antigen retrieval occasionally occur most especially with the brain tissue. therefore, this work seeks to provide solution on how to use locally charged 3-aminopropyltriethoxysilane (APES) and poly-l-lysine coated slides for brain immunohistochemistry (IHC). Methods This laboratory experimental control study was carried out in Obafemi Awolowo University Teaching Hospital Complex, Nigeria owing to section lifting associated with our brain tissue during IHC. Two tissue blocks of lifting brain section were cut at 5um. 30 sections were cut from each block. 10 sections from each block were floated onto APES coated slides, poly-l-lysine and superfrost plus. The sections were allowed to stand for two hours before putting them on hot plate at 370C overnight. The slides were arranged on 4 slide carrier containing 15 slides from each block, 5 slides from each group. The slides were dewaxed and hydrated to distilled water. Then, a set of 15 slides in a carrier from each block was allowed to air dry under ceiling fan on hot plates at 30OC until no traces of water was found on them. All the slides were then subjected to heat mediated antigen retrieval protocol using citrate buffer solution. Three slides from each block consisting of a non-post hydration air dried tissue section on superfrost plus as a control, post hydration air dried tissue section from APES and poly-l-lysine were stained with GFAP. Results All the sections on superfrost plus did not lift. All the post hydration air dried tissue sections on locally charged slides did not lift. Approximately one tissue section from non-air dried post hydration locally charged slides did not lift. There was no difference in the staining pattern of GFAP on all the tissue sections. Conclusion We propose that air dried tissue section after dewax and hydration could be used for GFAP study, most especially in a population that cannot afford commercially charged slides.


Neurosurgery ◽  
2019 ◽  
Vol 66 (Supplement_1) ◽  
Author(s):  
Rashad Jabarkheel ◽  
Jonathon J Parker ◽  
Chi-Sing Ho ◽  
Travis Shaffer ◽  
Sanjiv Gambhir ◽  
...  

Abstract INTRODUCTION Surgical resection is a mainstay of treatment in patients with brain tumors both for tissue diagnosis and for tumor debulking. While maximal resection of tumors is desired, neurosurgeons can be limited by the challenge of differentiating normal brain from tumor using only microscopic visualization and tactile feedback. Additionally, intraoperative decision-making regarding how aggressively to pursue a gross total resection frequently relies on pathologic preliminary diagnosis using frozen sections which are both time consuming and fallible. Here, we investigate the potential for Raman spectroscopy (RS) to rapidly detect pediatric brain tumor margins and classify brain tissue samples equivalent to histopathology. METHODS Using a first-of-its-kind rapid acquisition RS device we intraoperatively imaged fresh ex vivo pediatric brain tissue samples (2-3 mm × 2-3 mm × 2-3 mm) at the Lucille Packard Children's Hospital. All imaged samples received standard final histopathological analysis, as RS is a nondestructive imaging technique. We curated a labeled dataset of 575 + unique Raman spectra gathered from 160 + brain samples resulting from 23 pediatric patients who underwent brain tissue resection as part of tumor debulking or epilepsy surgery (normal controls). RESULTS To our knowledge we have created the largest labeled Raman spectra dataset of pediatric brain tumors. We are developing an end-to-end machine learning model that can predict final histopathology diagnosis within minutes from Raman spectral data. Our preliminary principle component analyses suggest that RS can be used to classify various brain tumors similar to “frozen” histopathology and can differentiate normal from malignant brain tissue in the context of low-grade glioma resections. CONCLUSION Our work suggests that machine learning approaches can be used to harness the material identification properties of RS for classifying brain tumors and detecting their margins.


The Analyst ◽  
2020 ◽  
Vol 145 (5) ◽  
pp. 1724-1736 ◽  
Author(s):  
Benjamin Lochocki ◽  
Tjado H. J. Morrema ◽  
Freek Ariese ◽  
Jeroen J. M. Hoozemans ◽  
Johannes F. de Boer

Raman spectroscopy was used to examine unstained, formalin fixed Alzheimer's disease human brain tissue to potentially identify a unique spectral signature of amyloid-beta plaques.


Author(s):  
Benjamin Lochocki ◽  
Tjado H. J. Morrema ◽  
Jurre den Haan ◽  
Freek Ariese ◽  
Femke H. Bouwman ◽  
...  

2003 ◽  
Author(s):  
Christoph Krafft ◽  
Snezana Miljanic ◽  
Stephan B. Sobottka ◽  
Gabriele Schackert ◽  
Reiner Salzer

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