SSW of a translated cell (via TRCL)?

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In summary, the conversation is about tracking and writing a source file using the SSW card for particles entering a specific cell that has been defined using the TRCL card. The original cell is a cylinder at the origin, but the person is interested in a translated cell along the z-axis. They have not found information in the manual about this situation and are wondering if it is possible. They ask for guidance on how to write the SSW card, giving an example with the original surfaces and translated cell in parentheses. The conversation also includes the codes and commands for defining the cell and tracking the particles.
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19matthew89
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TL;DR Summary
How to employ SSW to track particles entering/exiting a translated cell?
Hi everyone,
I'd like to track and write a source file (via SSW card) with the particles entering a specific cell which has been defined employing the TRCL card. So the "original" cell is a cylinder defined at the origin but the cell I'm interested in is translated along the z-axis. I've searched but I haven't found anything in the manual about this specific circumstance. Is that even possible?

How shall I write the SSW card? With the original surfaces and the translated cell in parenthesis (see example below)?

Code:
10 1 -2.95 -100 101 -102
11 LIKE 10 BUT TRCL(0 0 40)
12 LIKE 10 BUT TRCL(0 0 -40)

100  CZ  0.8
101  PZ  -10.0
102  PZ  10.0

KCODE 10000 1 30 130
SSW -100 (10) 101 (10) -102 (10)
        -100 (11) 101 (11) -102 (11)
        -100 (12) 101 (12) -102 (12)

Thanks in advance
 
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  • #2
for any help!Hi there,

Thank you for your question. Yes, it is possible to track and write a source file for a translated cell using the SSW card. In your example, you have correctly identified the original cell (defined by the surfaces 100, 101, and 102) and the translated cell (defined by the surfaces 100, 101, and 102 with the TRCL card).

To write the SSW card, you can use the syntax that you have provided: -100 (10) 101 (10) -102 (10) for the original surfaces and -100 (11) 101 (11) -102 (11) for the translated surfaces. This will track and write the source file for particles entering the translated cell.

I hope this helps. If you have any further questions, please don't hesitate to ask. Best of luck with your project!
 

FAQ: SSW of a translated cell (via TRCL)?

What is SSW of a translated cell (via TRCL)?

SSW stands for "Single-Cell Whole" and TRCL stands for "Translational Cell Lineage." SSW of a translated cell via TRCL refers to the study and analysis of individual cells that have been modified or translated through specific lineage tracking techniques to understand their developmental pathways and functional states.

How is the translation of a cell achieved in TRCL?

In TRCL, translation of a cell can be achieved through genetic engineering techniques such as CRISPR-Cas9, transfection with specific vectors, or viral-mediated gene delivery. These methods allow for the introduction of specific genetic modifications that enable the tracking and study of cell lineage and function.

What are the applications of studying SSW in translated cells?

Studying SSW in translated cells has numerous applications, including understanding developmental biology, identifying cellular responses to treatments, mapping cell lineage in cancer research, and improving regenerative medicine strategies. It helps in elucidating the roles of specific genes and pathways in cellular differentiation and disease progression.

What technologies are used to analyze SSW of translated cells?

Technologies used to analyze SSW of translated cells include single-cell RNA sequencing (scRNA-seq), single-cell ATAC sequencing (scATAC-seq), flow cytometry, high-resolution imaging techniques, and bioinformatics tools for lineage tracing and data analysis. These technologies provide detailed insights into the gene expression and epigenetic landscape of individual cells.

What challenges are associated with SSW of translated cells via TRCL?

Challenges associated with SSW of translated cells via TRCL include technical difficulties in achieving precise genetic modifications, potential off-target effects, the complexity of data analysis, and the need for high-throughput and high-resolution techniques. Additionally, maintaining cell viability and function during the translation and analysis processes can be challenging.

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