Quantitative Analysis of Axonal Degeneration and TDP-43 Aggregation in Compartmentalized Human iPSC-Derived Motor Neuron-Myotube Co-cultures.
Paper
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The authors' code
Python · 88 lines · 2.6 KB · MIT
- from ij import IJ
- from ij.io import DirectoryChooser
- from ij.plugin import ChannelSplitter
- from ij.gui import GenericDialog
- import os
- import random
- # Ask user which channel is NFH
- gd = GenericDialog("Select channel to open")
- gd.addNumericField("Which channel would you like to open? (enter channel number)", 1, 0)
- gd.showDialog()
- if gd.wasCanceled():
- IJ.error("User canceled dialog")
- exit()
- nfhChannel = int(gd.getNextNumber())
- # Ask user to select a folder
- dc = DirectoryChooser("Select a folder with images")
- inputDir = dc.getDirectory()
- if inputDir is None:
- IJ.error("No folder selected")
- exit()
- # Supported image extensions (case insensitive)
- extensions = [".ims", ".tif", ".tiff", ".czi", ".lif", ".dcm", ".ome.tif", ".nd2", ".svs"]
- # Get list of supported files in folder
- matching_paths = [f for f in os.listdir(inputDir) if any(f.lower().endswith(ext) for ext in extensions)]
- if len(matching_paths) == 0:
- IJ.error("No supported image files found in the folder.")
- exit()
- # Ask how many images to open — with input validation loop
- while True:
- n_input = IJ.getString("How many random images to open? (max: {})".format(len(matching_paths)), "1")
- if n_input is None:
- IJ.showMessage("Cancelled", "Operation cancelled by the user.")
- exit()
- try:
- n_to_open = int(n_input)
- if n_to_open <= 0 or n_to_open > len(matching_paths):
- raise ValueError
- break
- except:
- IJ.showMessage("Error", "Please enter a positive number up to {}.".format(len(matching_paths)))
- # Randomly sample the images
- selected_files = random.sample(matching_paths, n_to_open)
- for fileName in selected_files:
- fullPath = os.path.join(inputDir, fileName)
- #IJ.log("Processing: " + fileName)
- # Open image with Bio-Formats
- IJ.run("Bio-Formats Importer", "open=[" + fullPath + "] autoscale color_mode=Composite view=Hyperstack stack_order=XYCZT quiet")
- # Get current image
- imp = IJ.getImage()
- # Split channels
- channels = ChannelSplitter.split(imp)
- # Close original composite
- imp.close()
- # Validate NFH channel number
- if nfhChannel < 1 or nfhChannel > len(channels):
- IJ.log("Invalid channel number for image: " + fileName)
- for chImg in channels:
- chImg.close()
- continue
- # Close all channels except NFH channel
- for i, chImg in enumerate(channels):
- if i != nfhChannel - 1:
- chImg.close()
- # Get NFH channel image
- nfh_img = channels[nfhChannel - 1]
- # Convert to 8-bit
- #IJ.run(nfh_img, "8-bit", "")
- # Show NFH channel image
- nfh_img.show()
- #IJ.log("Processing completed.")
Choose_threshold.py at commit 237b34e, under MIT · at the source
Overview
- Gray Faculty of Medical & Health Sciences, Department of Neuroscience and Brain Disorders, Tel Aviv University, Tel Aviv, Israel
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
Abstract
Amyotrophic lateral sclerosis (ALS) is characterized by early and spatially restricted pathology in motor axons, including distal degeneration and accumulation of aggregation-prone proteins such as TDP-43. However, a major limitation in the field has been the lack of approaches that enable robust, quantitative, and compartment-specific analysis of these early axonal events, particularly in human-relevant systems. Here, we describe an integrated experimental and analytical framework that enables quantitative dissection of axonal degeneration and protein aggregation, specifically within distal motor axons. By combining compartmentalized human co-cultures with a dedicated image analysis strategy, this approach enables selective and quantitative analysis of pathological processes specifically within axons, independent of surrounding tissues such as muscle and other cellular compartments. This framework captures both structural degeneration and protein aggregation dynamics at subcellular resolution, enabling spatially resolved quantitative analysis of disease-relevant changes along axons. Importantly, the analytical framework is not limited to TDP-43 but is broadly applicable to diverse aggregation-prone proteins, thereby providing a generalizable platform to study axonal pathology across neurodegenerative diseases. Together, this work provides a scalable approach for investigating axonal pathology as an early and measurable feature of neurodegeneration, with potential applications in mechanistic studies and therapeutic targeting in ALS and related disorders.
Key features
• Compartmentalized human induced pluripotent stem cell (iPSC)-derived motor neuron–myotube co-cultures for modeling distal axonal pathology.
• Microfluidic separation of somatic and distal axonal compartments enabling spatial perturbation and analysis.
• Quantitative imaging of neurofilament heavy chain (NFH)-associated axonal degeneration and pTDP-43 accumulation.
• Semi-automated workflow for a reproducible, scalable, and modular pipeline for image quantification.
Reproduced under the paper's license (CC BY-NC), from the paper cited above.
Repository
Its files are read in the Code ↔ Paper reader above.
PerlsonLab/Bioprotocol
237b34ede8472c9d4f025aec6e010884ffc568cd, 9 September 2026Availability: 1 check, the latest on 26 September 2026: the link answers
- 26 September 2026: the link answers
4 files
- Semi-Automated Analysis scripts/
Choose_threshold.py , Python, 88 lines - Semi-Automated Analysis scripts/
Remerge_channels.py , Python, 158 lines - LICENSE, License, 21 lines
- README.md, Text, 13 lines
Tracing map
Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.
What the map holds:
- 1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
- 2 scripts, each with its path and the digest of its content;
- no match between paragraphs and code yet;
- neither the text of the paper nor the code itself.
Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.
Data
No dataset and no data link were found in the paper.
Versions
The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.
Version 3, 28 September 2026
- Funding: added Muscular Dystrophy Association; Target ALS; Israel Science Foundation
Version 1, 27 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 4 authors, 6 keywords, 35 references.
Cite
This paper
Subramaniam, A. G., de Andrade Gensas, L. K., Gradus-Pery, T., & Perlson, E. (2026). Quantitative Analysis of Axonal Degeneration and TDP-43 Aggregation in Compartmentalized Human iPSC-Derived Motor Neuron-Myotube Co-cultures. Bio-protocol, 16(17), e5801. https://
BibTeX
@article{subramaniam2026
author = {Subramaniam, Anand Ganapathy and de Andrade Gensas, Lucas Keniger and Gradus-Pery, Tal and Perlson, Eran},
title = {{Quantitative Analysis of Axonal Degeneration and TDP-43 Aggregation in Compartmentalized Human iPSC-Derived Motor Neuron-Myotube Co-cultures}},
journal = {Bio-protocol},
year = {2026},
month = sep,
volume = {16},
number = {17},
pages = {e5801},
publisher = {Bio-protocol, LLC},
issn = {2331-8325},
doi = {10.21769/
url = {https://
pmid = {42729071},
pmcid = {PMC13561694}
}
RIS
TY - JOUR
AU - Subramaniam, Anand Ganapathy
AU - de Andrade Gensas, Lucas Keniger
AU - Gradus-Pery, Tal
AU - Perlson, Eran
TI - Quantitative Analysis of Axonal Degeneration and TDP-43 Aggregation in Compartmentalized Human iPSC-Derived Motor Neuron-Myotube Co-cultures
T2 - Bio-protocol
J2 - Bio Protoc
PY - 2026
DA - 2026/
VL - 16
IS - 17
SP - e5801
SN - 2331-8325
PB - Bio-protocol, LLC
DO - 10.21769/
UR - https://
LA - en
ER -
CSL-JSON
{
"id": "10.21769/
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"title": "Quantitative Analysis of Axonal Degeneration and TDP-43 Aggregation in Compartmentalized Human iPSC-Derived Motor Neuron-Myotube Co-cultures",
"container-title": "Bio-protocol",
"author": [
{
"family": "Subramaniam",
"given": "Anand Ganapathy"
},
{
"family": "de Andrade Gensas",
"given": "Lucas Keniger"
},
{
"family": "Gradus-Pery",
"given": "Tal"
},
{
"family": "Perlson",
"given": "Eran"
}
],
"container-title-short":
"volume": "16",
"issue": "17",
"page": "e5801",
"DOI": "10.21769/
"PMID": "42729071",
"PMCID": "PMC13561694",
"ISSN": "2331-8325",
"publisher": "Bio-protocol, LLC",
"URL": "https://
"language": "en",
"issued": {
"date-parts": [
[
2026,
9,
5
]
]
}
}
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