REVIEW 1 cited by
On the 96-well plate coverglass tilt and curvature suppression in 96-camera imaging system
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
read the original abstract
The 96-eyes instrument is capable of computational extended depth of focus (eDOF) of up to +/- 30 micrometer in the phase channel, and conventional depth of field (DOF) of +/- 5 micrometer in the fluorescence channel. However, it requires minimal plate-to-plate cover glass depth variation to function. Plate depths are measured using a third-party plate scanner (Opera Phenix) grouped by plate types (Greiner UV-Star, Cell-Star, and Eppendorf meniscus-free). The two-dimensional (2D) depth dataset is aggregated through principal component analysis to obtain the top eight dominating 2D surface deformation modes. More than 90% of the variation can be explained by the plate's absolute depth and tilt (Pitch, Gradient-Y, and Gradient-X), followed by (~= 2%) the cover glass's curvature (Curve-Y and Curve-XY). Plate-to-plate average depth and tilt variations are suppressed by a customized kinematic mount anchoring the plate's cover glass at the instrument's imaging plane. The plate's average curvature is compensated by manually aligning all 96-eyes microscope objective lenses to track the plate's surface; an one-off calibration procedure aided by the backlash-free piezo-flexure z-stage. Design validation is conducted in silico, with the proof of concept experiment conducted on the 96-eyes with new mounting bracket retrofits.
Forward citations
Cited by 1 Pith paper
-
Designing across domains with declarative thinking: Insights from the 96-Eyes ptychographic imager project
Formalizing imaging system requirements in a declarative, machine-readable language is claimed to improve traceability and reduce cross-team misalignment, based on the 96-Eyes project.
Discussion (0). Sign in to comment.