Researchers at AKU-CRM have analysed the effectiveness of Serial Block-Face Scanning Electron Microscopy (SBFSEM) in investigating the ultrastructure and organisation of chromosomes in the cell and its nucleus.
The review, published in DNA, provides a comprehensive analysis of how this microscopy is helping researchers to reveal the 3D organisational structure of chromosomes.
Due to its ability to auto-register images, the reviewers have deemed SBFSEM useful in studying the ultra-structure of chromosomes and their placement in cells.
To further enhance the productivity of SBFSEM, the reviewers have recommended developing new generation backscattered electron detectors and improvement in resin strength to combat the heat generated during high-resolution imaging for better results. They have also suggested developing automated segmentation tools in the software to accelerate the quantitative analysis of chromosome samples.
The review concludes that the SBFSEM technology coupled with super-resolution microscopy and parallel sample imaging could provide comprehensive insight into the 3D genome maps of single cells.
Contributors to this review include Dr Mohammed Yusuf, Professor El-Nasir Lalani and Atiqa Sajid from CRM, and Professor Ian K. Robinson from the London Centre for Nanotechnology, University College London.
Read the full article: https://doi.org/10.3390/dna2010003
Researchers at AKU-CRM have analysed the effectiveness of Serial Block-Face Scanning Electron Microscopy (SBFSEM) in investigating the ultrastructure and organisation of chromosomes in the cell and its nucleus.
The review, published in DNA, provides a comprehensive analysis of how this microscopy is helping researchers to reveal the 3D organisational structure of chromosomes.
Due to its ability to auto-register images, the reviewers have deemed SBFSEM useful in studying the ultra-structure of chromosomes and their placement in cells.
To further enhance the productivity of SBFSEM, the reviewers have recommended developing new generation backscattered electron detectors and improvement in resin strength to combat the heat generated during high-resolution imaging for better results. They have also suggested developing automated segmentation tools in the software to accelerate the quantitative analysis of chromosome samples.
The review concludes that the SBFSEM technology coupled with super-resolution microscopy and parallel sample imaging could provide comprehensive insight into the 3D genome maps of single cells.
Contributors to this review include Dr Mohammed Yusuf, Professor El-Nasir Lalani and Atiqa Sajid from CRM, and Professor Ian K. Robinson from the London Centre for Nanotechnology, University College London.
Read the full article: https://doi.org/10.3390/dna2010003
