A Modular Microarray Imaging System for Highly Specific COVID-19 Antibody Testing

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1. 

   ScreenIT

   Jun 9, 2020

   SciScore for 10.1101/2020.05.22.111518: (What is this?)

   Please note, not all rigor criteria are appropriate for all manuscripts.

   Table 1: Rigor

   Institutional Review Board Statement	not detected.
   Randomization	not detected.
   Blinding	not detected.
   Power Analysis	not detected.
   Sex as a biological variable	not detected.

   Table 2: Resources

   Antibodies
   Sentences	Resources
   The microarrays were then washed 3x with T-TBS buffer (20 mM Tris-HCl, 150 mM NaCl, 0.05% Tween-20, adjusted to pH 7.5 and filtered), labeled with secondary antibodies to human IgA and IgG conjugated to quantum dot (QD) fluorophores for 1 h at room temperature, followed by a second 3× wash with T-TBS before drying.	human IgA suggested: None
   Software and Algorithms
   Sentences	Resources
   In the prototype, we used the Python programming language and the following libraries: picamera, numpy, Image, …

   SciScore for 10.1101/2020.05.22.111518: (What is this?)

   Please note, not all rigor criteria are appropriate for all manuscripts.

   Table 1: Rigor

   Institutional Review Board Statement	not detected.
   Randomization	not detected.
   Blinding	not detected.
   Power Analysis	not detected.
   Sex as a biological variable	not detected.

   Table 2: Resources

   Antibodies
   Sentences	Resources
   The microarrays were then washed 3x with T-TBS buffer (20 mM Tris-HCl, 150 mM NaCl, 0.05% Tween-20, adjusted to pH 7.5 and filtered), labeled with secondary antibodies to human IgA and IgG conjugated to quantum dot (QD) fluorophores for 1 h at room temperature, followed by a second 3× wash with T-TBS before drying.	human IgA suggested: None
   Software and Algorithms
   Sentences	Resources
   In the prototype, we used the Python programming language and the following libraries: picamera, numpy, Image, scipy.	scipy suggested: (SciPy, RRID:SCR_008058)
   Python and packages are freely available at https://www.python.org/.	Python suggested: (IPython, RRID:SCR_001658)
   Therefore, spherical aberrations of the imaging lens were characterized by taking a reference image of a checkerboard pattern (7 × 14 squares) and corrected in the microarray images using the Open Computer Vision (OpenCV) package for Python (https://opencv.org/).	OpenCV suggested: (OpenCV, RRID:SCR_015526)

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   Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

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   Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

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   Results from TrialIdentifier: No clinical trial numbers were referenced.

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   Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

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   Results from JetFighter: Please consider improving the rainbow (“jet”) colormap(s) used on page 8. At least one figure is not accessible to readers with colorblindness and/or is not true to the data, i.e. not perceptually uniform.

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   Results from rtransparent:

   • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
   • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
   • No protocol registration statement was detected.

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   Read the original source
2. 

   Version published to 10.1101/2020.05.22.111518v1 on bioRxiv

   May 23, 2020
3. Version published to 10.1039/d0lc00547a

   Jan 1, 2020