SeedSeg: image-based transgenic seed counting for segregation analysis of T-DNA loci

By automating the seed counting process, SeedSeg reduces the manual labor associated with identifying transgenic lines containing a single T-DNA locus. SeedSeg is adaptable to different seed sizes and visual transgene markers, making it a versatile tool for accelerating plant research.

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Publication Details

Journal
Plant Methods
Published
2025-06-24
DOI
https://doi.org/10.1186/s13007-025-01406-4
Primary Topic
Plant tissue culture and regeneration
Type
article
Field-Weighted Citation Impact
0.00

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article

SeedSeg: image-based transgenic seed counting for segregation analysis of T-DNA loci

Vivian Zhong, Jennifer A. N. Brophy, Sergio Hernández
Plant Methods
Plant tissue culture and regeneration
article

SeedSeg: image-based transgenic seed counting for segregation analysis of T-DNA loci

Vivian Zhong, Jennifer A. N. Brophy, Sergio Hernández
article en

Abstract

By automating the seed counting process, SeedSeg reduces the manual labor associated with identifying transgenic lines containing a single T-DNA locus. SeedSeg is adaptable to different seed sizes and visual transgene markers, making it a versatile tool for accelerating plant research.

Plant MethodsVol. 21(1)
Stanford University (US)
National Science Foundation, Burroughs Wellcome Fund
Openalex Percentile: Top 87%
Plant tissue culture and regeneration
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