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  1. Morphology-based classification of sickle cell disease and β-thalassemia using a low-cost automated microscope and machine learning

    This article has 16 authors:
    1. Pranav Shrestha
    2. Hendrik Lohse
    3. Christopher Bhatla
    4. Heather McCartney
    5. Alaa Alzaki
    6. Navdeep Sandhu
    7. Pradip Kumar Oli
    8. Hongquan Li
    9. Manu Prakash
    10. Ali Amid
    11. Rodrigo Onell
    12. Nicholas Au
    13. Hayley Merkeley
    14. Videsh Kapoor
    15. Rajan Pande
    16. Boris Stoeber

    Reviewed by Arcadia Science

    This article has 1 evaluationAppears in 1 listLatest version Latest activity
  2. Integrating microscopy and transcriptomics from individual uncultured eukaryotic plankton

    This article has 5 authors:
    1. Catherine Gatt
    2. Yike Xie
    3. Kanu Wahi
    4. Emma MV Johansson
    5. Fabio Zanini
    This article has been curated by 1 group:
    • Curated by eLife

      eLife Assessment

      This valuable research contributes to our understanding of marine plankton diversity and gene expression by employing robust methodologies for sample collection and analysis. However, it lacks a comprehensive comparison with existing single-cell transcriptomics techniques in microbial ecology, and some terminology requires clarification for consistency with field standards. The downstream data analysis therefore provides only incomplete support for the claims made by the authors.

    Reviewed by eLife, Arcadia Science

    This article has 9 evaluationsAppears in 2 listsLatest version Latest activity