🧬 Introducing Gel Image Analyzer: Smarter Genotyping Data Entry

From Manual Typing to Smart Automation

Genotyping is one of the most essential but time-consuming steps in mouse colony management. Researchers must look at gel electrophoresis images, interpret the bands, and then manually type in animal, gene, and allele data into spreadsheets or colony management tools.

This process not only wastes valuable time but also increases the risk of human error.

That’s why Moustra is excited to launch the Gel Image Analyzer — a feature designed to make genotyping faster, easier, and more accurate.

How the Gel Image Analyzer Works

With Gel Image Analyzer, you can:

Upload your gel image directly into Moustra.
Tag each lane with the animal ID, gene, and allele information.
Let Moustra automatically map those tags into your colony database.

No more copying results from paper or typing line by line into forms. Your gel images become interactive, traceable data sources that directly connect to animal records.

Key Benefits

🔖 Direct tagging — Assign animal IDs, genes, and alleles visually on your gel image.
⏱ Save time — Eliminate repetitive manual typing.
✅ Improve accuracy — Reduce transcription errors by linking images to records.
📊 Seamless integration — Tagged results flow directly into Moustra’s database.
🔍 Traceability — Keep gel images linked with genotype results for future reference.

Why It Matters for Your Lab

Accurate genotyping is critical for breeding decisions, compliance, and research integrity. But the traditional manual workflow slows researchers down.

By connecting gel electrophoresis results directly with colony records, Moustra helps labs:

Streamline genotyping workflows
Improve data accuracy and integrity
Spend less time on data entry and more on research

A Closer Look at the Gel Image Analyzer Workflow

To understand why this feature matters, it helps to walk through the traditional genotyping data entry process and see exactly where the Gel Image Analyzer improves it.

The Traditional Workflow (Before Gel Image Analyzer)

A typical genotyping session in a mouse colony lab looks like this:

The lab runs PCR on tail biopsies collected from a recent litter.
The PCR products are run on an agarose gel, and the gel is imaged using a UV transilluminator or gel documentation system.
A researcher or technician opens the gel image on their computer screen, identifies which lanes correspond to which animals, reads the band pattern, and determines the genotype call for each animal.
They then open a separate spreadsheet or colony management tool and manually type in the animal ID, gene name, and allele designation for each lane.
If the lab genotypes multiple genes per animal, the process repeats for each gel.

Steps 3 and 4 are where errors creep in. Transposing animal IDs between lanes, misreading a faint band, or accidentally entering data into the wrong row are all common mistakes. In a busy genotyping week where a lab might process 50 to 100 animals, even a 2 percent error rate means one or two animals receive incorrect genotype assignments. Those errors can cascade into wrong breeding decisions, wasted experimental animals, and weeks of lost time.

The Moustra Workflow (With Gel Image Analyzer)

With the Gel Image Analyzer, the process changes significantly:

After imaging the gel, you upload the image directly to Moustra.
The image appears in an interactive viewer where you can see each lane clearly.
You click on a lane and select the animal ID from a dropdown populated from your colony database. No manual typing of IDs.
You assign the gene and allele call for that lane using standardized options. Moustra knows which genes are relevant to the strain, so the options are pre-filtered.
Once all lanes are tagged, you confirm the submission, and Moustra writes the genotype data directly into each animal's record.

The gel image itself is permanently linked to the genotype record. Six months later, if anyone questions whether animal M-3421 was truly homozygous for the floxed allele, they can pull up the original gel image, see exactly which lane corresponds to that animal, and verify the band pattern themselves.

Handling Multi-Gene Genotyping

Many transgenic mouse lines require genotyping for two, three, or even four genes per animal. A conditional knockout line might require separate PCR reactions for the Cre driver, the floxed target gene, and a reporter allele.

The Gel Image Analyzer supports this workflow cleanly. You upload each gel image separately, and each image is tagged with the specific gene it tests. Moustra aggregates the results across multiple gels to build the complete genotype profile for each animal. If animal M-3421 shows Cre-positive on one gel and floxed homozygous on another, both results appear on the same animal record with links back to their respective gel images.

This multi-gel support eliminates the common problem of partial genotype records. In spreadsheet-based systems, it is easy to record the Cre result but forget to enter the floxed allele call because it was on a different gel run on a different day. In Moustra, the animal record clearly shows which genes have been genotyped and which are still pending.

Practical Scenarios Where Gel Image Analyzer Saves Time

High-Throughput Genotyping Weeks

A genetics core facility processing new litters every week might genotype 80 to 120 animals in a single session. At two minutes per manual entry (looking up the animal ID, typing the gene, entering the allele), that is three to four hours of data entry per session. With the Gel Image Analyzer, the same data entry takes roughly 30 to 45 minutes because you are selecting from dropdowns rather than typing, and the animal IDs are pulled directly from your database rather than read off a cage card.

Training New Lab Members

Genotype interpretation is a skill that takes practice. New graduate students and technicians often struggle to read gel images confidently, especially for PCR products with similar band sizes. The Gel Image Analyzer creates a natural training archive. A senior researcher can review tagged gel images, verify the allele calls, and provide feedback directly in Moustra. Over time, the lab builds a library of annotated gel images that serves as a reference for ambiguous band patterns.

Audit and Compliance Requirements

Some institutions require that genotyping records include the raw data supporting each genotype call. This is particularly common for labs working with regulated transgenic lines or for colonies that are shared across institutions. The Gel Image Analyzer satisfies this requirement automatically because every genotype entry in Moustra links back to the original gel image. During an audit, you can produce a complete chain of evidence from gel image to genotype record to breeding decision without reconstructing anything from memory or paper logs.

Resolving Genotype Disputes

Occasionally, two researchers will disagree about a genotype call. Maybe the band was faint, or the heterozygous pattern looked ambiguous. In a spreadsheet-based system, there is no way to go back and check the original data. The genotype was entered, the gel image was saved to someone's desktop, and months later nobody can find it. With the Gel Image Analyzer, the original gel image is always one click away from the animal record, making it straightforward to revisit and resolve any disagreement.

Integration with Moustra's Breeding Tools

Genotype data entered through the Gel Image Analyzer flows directly into Moustra's breeding recommendations. When you ask Cheese AI to suggest a breeding strategy for producing a specific genotype combination, it uses the confirmed genotype data from gel image analysis to determine which animals are available as breeders. This tight integration means there is no gap between genotyping results and breeding decisions.

For example, after genotyping a new litter and tagging all lanes in the Gel Image Analyzer, Moustra can immediately identify which pups are suitable as future breeders for your colony expansion. A pup confirmed as Cre-positive and carrying the floxed allele in heterozygous state is automatically flagged as a candidate for your next cross. Without this integration, a researcher would need to manually check genotype records before making breeding assignments, an extra step that often gets delayed.

What Labs Are Saying About the Gel Image Analyzer

Early adopters of the Gel Image Analyzer consistently highlight the same three benefits: faster data entry, fewer transcription errors, and the peace of mind that comes from having gel images permanently linked to genotype records. A genetics core facility that processes 100 animals per week reported reducing their genotyping data entry time from three hours to under 45 minutes per session. A graduate student managing a small colony of conditional knockout mice said the biggest improvement was eliminating the anxiety of wondering whether they entered the right genotype for the right mouse, because the visual tagging workflow makes the animal-to-lane connection explicit and verifiable at any point in the future.

For labs that collaborate across institutions or share colonies between multiple research groups, the traceability provided by linked gel images is especially valuable. When a collaborator questions a genotype call, you can share the original gel image and the tagged lane assignment rather than relying on a text entry that could have been transcribed incorrectly. This level of data provenance builds trust in shared colony data and reduces the need for costly re-genotyping to confirm results.

Try the Gel Image Analyzer Today

The Gel Image Analyzer is now available to all Moustra users.

👉 Upload your first gel image, tag your lanes, and see how easy it is to keep your colony records up to date.

Not using Moustra yet? Start your free 30-day trial today and experience a smarter way to manage your mouse colony.