Last updated: 2022-10-06
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Knit directory: 220920_test/
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The aim of this test is to assess the impact of retraction speed of Pintool to its stamping accuracy with help from Adam (PE). We have also tested if the pin retraction height made any difference.
Adam had acknowledged the issue with faulty pins discovered in the previous tests and the Pintool adapter stability issue. The problem with Pintool adapter stability might be the slight Z direction drift which caused it to not latching properly.
We also agreed on I should bve testing the pre-wetting of pintool to see if a thinning agent (in this case, water) will make the pintool liquid handling better.
Another test that we wanted to do is the wash station. We did see the 384 head can also pick up the pintool. So maybe the existing wash station (with pumps) in VCFG can be used for Pintool wash.
ML
Absorbance of tartrazine at 410 on Cytation 5 plate reader
data.table, DT, platetools, reshape2, tidyverse, patchwork
# load the required packages
library(data.table)
library(DT)
library(platetools)
library(reshape2)
library(readxl)
library(tidyverse)
library(patchwork)
library(here)
library(htmltools)
# check if here() correctly identified the directory
here::here()
[1] "/home/mli/ML_Mac-Seq/Pintool_dev/220920_test"
# set the file prefix
prefix <- "ML_Mac-Seq_Pintool_dev"
2022-09-20
Tartrazine stock at 12.5 ug/ul Source plate made @ tartrazine 10 ug/ul with 1X PBS
Standard curve of tartrazine absorbance (Abs) was constructed by
triplicate serial dilution
Plate reader Abs signal saturation occurs between 0.08 to 0.16 ug/ul tartrazine.
Fresh Standard curve plate was prepared. A new PBS plate was set to wash station 1 so we can measure the residual dye on the pintool after delivery.
3 retraction speed tested in Aspiration (A) (10mm/sec, 30mm/sec and 200mm/sec) 1 retraction speed tested in Dispense (D) (200mm/sec)
Clearing height tested: default to 10mm
Due the number of conditions tested, the wash plate was reused so we
need to compare the delta of each reading.
The raw data was read into R Studio.
Comments: I would like to look at the standard
curve plate, and target plate after each transfer
Comments: Now that I know the consistency is
not ideal, I want to know just how accurate the pintool is in delivery
the labelled 100nl volume. In theory, a 100nl of my stock 10ug/ul
tartrazine trasnferred into 50ul PBS should give a final 0.02 ug/ul
(i.e. 1ug dye increament). Using the standard curve constructed, I can
get a portion of it where Abs readings and dye concentrations
approximated a linear relationship (unfortunately the next dye
concentration 0.16 ug/ul had an Abs value beyond detection limit). In
this roughly linear section, tartrazine concentration covered is ranging
0.002 ug/ul to 0.08 ug/ul, covering the final concentration for at least
4 transfers in this test. I can use this to estimate the dye (hence real
volume) transferred by each pin at each transfer, see how far off is
that compared to 100nl
Call:
lm(formula = Conc ~ Abs, data = Standard.curve)
Coefficients:
(Intercept) Abs
-0.003763 0.018658
Comments: Roughly using a linear approximation:
Concentration = (0.019xAbs - 0.003) ug/ul.The volume change by
trasnferring a couple rounds of 100nl into 50ul well is less than 1%. So
we can have the relationship of Volume = (0.095xAbs - 0.015)x1000 nl
Comments:
Analysed by Mark Li
Victorian Centre for Functional Genomics
sessionInfo()
R version 4.2.0 (2022-04-22)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: CentOS Linux 7 (Core)
Matrix products: default
BLAS: /usr/lib64/libblas.so.3.4.2
LAPACK: /usr/lib64/liblapack.so.3.4.2
locale:
[1] LC_CTYPE=en_AU.UTF-8 LC_NUMERIC=C
[3] LC_TIME=en_AU.UTF-8 LC_COLLATE=en_AU.UTF-8
[5] LC_MONETARY=en_AU.UTF-8 LC_MESSAGES=en_AU.UTF-8
[7] LC_PAPER=en_AU.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_AU.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] htmltools_0.5.3 here_1.0.1 patchwork_1.1.2 forcats_0.5.2
[5] stringr_1.4.1 dplyr_1.0.10 purrr_0.3.4 readr_2.1.2
[9] tidyr_1.2.0 tibble_3.1.8 ggplot2_3.3.6 tidyverse_1.3.2
[13] readxl_1.4.1 reshape2_1.4.4 platetools_0.1.5 DT_0.24
[17] data.table_1.14.2 workflowr_1.7.0
loaded via a namespace (and not attached):
[1] nlme_3.1-159 fs_1.5.2 lubridate_1.8.0
[4] bit64_4.0.5 RColorBrewer_1.1-3 httr_1.4.4
[7] rprojroot_2.0.3 tools_4.2.0 backports_1.4.1
[10] bslib_0.4.0 utf8_1.2.2 R6_2.5.1
[13] DBI_1.1.3 colorspace_2.0-3 withr_2.5.0
[16] tidyselect_1.1.2 processx_3.7.0 bit_4.0.4
[19] compiler_4.2.0 git2r_0.30.1 cli_3.3.0
[22] rvest_1.0.3 formatR_1.12 xml2_1.3.3
[25] labeling_0.4.2 sass_0.4.2 scales_1.2.1
[28] callr_3.7.2 digest_0.6.29 rmarkdown_2.16
[31] pkgconfig_2.0.3 highr_0.9 dbplyr_2.2.1
[34] fastmap_1.1.0 htmlwidgets_1.5.4 rlang_1.0.5
[37] rstudioapi_0.14 farver_2.1.1 jquerylib_0.1.4
[40] generics_0.1.3 jsonlite_1.8.0 crosstalk_1.2.0
[43] vroom_1.5.7 googlesheets4_1.0.1 magrittr_2.0.3
[46] Rcpp_1.0.9 munsell_0.5.0 fansi_1.0.3
[49] lifecycle_1.0.1 stringi_1.7.8 whisker_0.4
[52] yaml_2.3.5 plyr_1.8.7 grid_4.2.0
[55] parallel_4.2.0 promises_1.2.0.1 crayon_1.5.1
[58] lattice_0.20-45 splines_4.2.0 haven_2.5.1
[61] hms_1.1.2 knitr_1.40 ps_1.7.1
[64] pillar_1.8.1 reprex_2.0.2 glue_1.6.2
[67] evaluate_0.16 getPass_0.2-2 modelr_0.1.9
[70] vctrs_0.4.1 tzdb_0.3.0 httpuv_1.6.5
[73] cellranger_1.1.0 gtable_0.3.1 assertthat_0.2.1
[76] cachem_1.0.6 xfun_0.32 mime_0.12
[79] broom_1.0.1 later_1.3.0 googledrive_2.0.0
[82] gargle_1.2.0 ellipsis_0.3.2