FICTURE software addresses a critical challenge in spatial omics analysis: making high-resolution inference with only a few molecules per square micron. This tool fully realizes the potential of contemporary spatial platforms by learning latent spatial factors from the whole transcriptome while preserving the resolution of each technology at scale..

。该工具通过从整个转录组中学习潜在的空间因素，同时在规模上保持每种技术的分辨率，从而充分实现了当代空间平台的潜力。。

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Access Nature and 54 other Nature Portfolio journalsGet Nature+, our best-value online-access subscription24,99 € / 30 dayscancel any timeLearn moreSubscription info for Chinese customersWe have a dedicated website for our Chinese customers. Please go to naturechina.com to subscribe to this journal.Go to naturechina.comBuy this articlePurchase on SpringerLinkInstant access to full article PDFBuy nowPrices may be subject to local taxes which are calculated during checkout.

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Fig. 1: Analysis of Seq-Scope-profiled mouse colon using FICTURE.

图1：使用FICTURE分析Seq Scope分析的小鼠结肠。

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et al. FICTURE: scalable segmentation-free analysis of submicron-resolution spatial transcriptomics. Nat. Methods https://doi.org/10.1038/s41592-024-02415-2 (2024).Rights and permissionsReprints and permissionsAbout this articleCite this article Analyzing submicron spatial transcriptomics data at their original resolution..

。自然方法https://doi.org/10.1038/s41592-024-02415-2（2024年）。权利和许可打印和许可本文引用本文以原始分辨率分析亚微米空间转录组学数据。。

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