UMGCC FCSS
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    • BD FACSAria II
  • Historical
    • Cytek Aurora 3L
    • Cytek Aurora 4L
    • Cytek Aurora 5L
    • Cytek Aurora CS
    • BD FACSCanto II
    • BD LSR II
    • BD FACSAria II
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    • Miscellaneous
    • QC Bead Lots
    • Bleach Vs. QC Bead Lot 2006

Please see left-sidebar for definitions

3L

QC Status: Pass

4L

QC Status: Pass

5L

QC Status: Pass

CS

QC Status: Pass

  • 3L
  • 4L
  • 5L
  • CS
  • History
Detector
Gain
%RCV
Value Status Value Status
FSC 473 Pass 1.67 Pass
SSC 270 Pass 3.36 Pass
SSC-B 130 Pass 2.93 Pass
V1 315 Pass 0.93 Pass
V2 332 Pass 1.06 Pass
V3 412 Pass 1.17 Pass
V4 252 Pass 1.30 Pass
V5 327 Pass 1.32 Pass
V6 284 Pass 1.38 Pass
V7 382 Pass 1.57 Pass
V8 647 Pass 1.95 Pass
V9 522 Pass 1.95 Pass
V10 406 Pass 2.01 Pass
V11 337 Pass 1.98 Pass
V12 291 Pass 1.92 Pass
V13 299 Pass 1.84 Pass
V14 461 Pass 1.79 Pass
V15 526 Pass 1.61 Pass
V16 425 Pass 1.67 Pass
B1 634 Pass 1.89 Pass
B2 371 Pass 1.73 Pass
B3 394 Pass 1.68 Pass
B4 379 Pass 1.57 Pass
B5 314 Pass 1.59 Pass
B6 231 Pass 1.66 Pass
B7 423 Pass 1.61 Pass
B8 362 Pass 1.67 Pass
B9 483 Pass 1.72 Pass
B10 363 Pass 1.74 Pass
B11 280 Pass 1.97 Pass
B12 397 Pass 1.92 Pass
B13 474 Pass 2.18 Pass
B14 504 Pass 2.21 Pass
R1 243 Pass 1.43 Pass
R2 298 Pass 1.23 Pass
R3 380 Pass 1.32 Pass
R4 364 Pass 1.32 Pass
R5 367 Pass 1.54 Pass
R6 380 Pass 1.65 Pass
R7 846 Pass 2.16 Pass
R8 414 Pass 1.88 Pass
Detector
Gain
%RCV
Value Status Value Status
FSC 479 Pass 1.19 Pass
SSC 120 Pass 2.82 Pass
SSC-B 124 Pass 2.95 Pass
UV1 552 Pass 4.05 Pass
UV2 334 Pass 3.68 Pass
UV3 261 Pass 4.63 Pass
UV4 245 Pass 4.58 Pass
UV5 313 Pass 4.72 Pass
UV6 441 Pass 4.77 Pass
UV7 649 Pass 4.81 Pass
UV8 559 Pass 4.51 Pass
UV9 704 Pass 4.48 Pass
UV10 441 Pass 4.36 Pass
UV11 571 Pass 4.48 Pass
UV12 498 Pass 4.47 Pass
UV13 684 Pass 4.52 Pass
UV14 1335 Pass 4.57 Pass
UV15 1047 Pass 4.64 Pass
UV16 1468 Pass 4.74 Pass
V1 200 Pass 0.69 Pass
V2 249 Pass 0.62 Pass
V3 195 Pass 0.79 Pass
V4 143 Pass 0.71 Pass
V5 174 Pass 0.56 Pass
V6 153 Pass 0.55 Pass
V7 206 Pass 0.56 Pass
V8 316 Pass 0.69 Pass
V9 216 Pass 0.64 Pass
V10 249 Pass 0.64 Pass
V11 191 Pass 0.59 Pass
V12 175 Pass 0.70 Pass
V13 174 Pass 0.91 Pass
V14 236 Pass 1.45 Pass
V15 483 Pass 2.31 Pass
V16 269 Pass 1.85 Pass
B1 1140 Pass 1.91 Pass
B2 515 Pass 1.47 Pass
B3 426 Pass 1.30 Pass
B4 408 Pass 1.36 Pass
B5 399 Pass 1.21 Pass
B6 244 Pass 1.36 Pass
B7 467 Pass 1.20 Pass
B8 370 Pass 1.38 Pass
B9 583 Pass 1.62 Pass
B10 422 Pass 1.60 Pass
B11 252 Pass 1.71 Pass
B12 355 Pass 2.35 Pass
B13 629 Pass 1.86 Pass
B14 566 Pass 1.91 Pass
R1 150 Pass 1.81 Pass
R2 242 Pass 1.81 Pass
R3 331 Pass 1.74 Pass
R4 241 Pass 1.80 Pass
R5 200 Pass 1.88 Pass
R6 288 Pass 2.56 Pass
R7 529 Pass 1.98 Pass
R8 232 Pass 2.59 Pass
Detector
Gain
%RCV
Value Status Value Status
FSC 627 Pass 2.08 Pass
SSC 153 Pass 1.07 Pass
SSC-B 102 Pass 2.54 Pass
UV1 1321 Pass 2.40 Pass
UV2 363 Pass 0.97 Pass
UV3 286 Pass 1.35 Pass
UV4 209 Pass 1.41 Pass
UV5 262 Pass 1.49 Pass
UV6 324 Pass 1.55 Pass
UV7 500 Pass 1.62 Pass
UV8 403 Pass 1.55 Pass
UV9 472 Pass 1.52 Pass
UV10 319 Pass 1.38 Pass
UV11 401 Pass 1.23 Pass
UV12 370 Pass 1.32 Pass
UV13 535 Pass 1.47 Pass
UV14 911 Pass 1.66 Pass
UV15 735 Pass 1.78 Pass
UV16 955 Pass 2.03 Pass
V1 136 Pass 1.18 Pass
V2 255 Pass 1.01 Pass
V3 235 Pass 1.04 Pass
V4 160 Pass 1.02 Pass
V5 187 Pass 1.03 Pass
V6 195 Pass 1.10 Pass
V7 248 Pass 1.08 Pass
V8 310 Pass 1.13 Pass
V9 275 Pass 1.07 Pass
V10 306 Pass 1.12 Pass
V11 236 Pass 0.93 Pass
V12 189 Pass 0.98 Pass
V13 184 Pass 1.18 Pass
V14 256 Pass 1.39 Pass
V15 450 Pass 1.56 Pass
V16 317 Pass 1.74 Pass
B1 605 Pass 1.83 Pass
B2 370 Pass 1.74 Pass
B3 363 Pass 1.64 Pass
B4 329 Pass 1.53 Pass
B5 248 Pass 1.57 Pass
B6 242 Pass 1.66 Pass
B7 504 Pass 1.63 Pass
B8 348 Pass 1.71 Pass
B9 475 Pass 1.84 Pass
B10 434 Pass 1.86 Pass
B11 298 Pass 2.04 Pass
B12 291 Pass 1.99 Pass
B13 438 Pass 2.22 Pass
B14 507 Pass 2.29 Pass
YG1 426 Pass 1.85 Pass
YG2 405 Pass 1.84 Pass
YG3 261 Pass 1.85 Pass
YG4 482 Pass 1.66 Pass
YG5 389 Pass 1.74 Pass
YG6 462 Pass 1.74 Pass
YG7 310 Pass 1.79 Pass
YG8 285 Pass 1.89 Pass
YG9 375 Pass 1.94 Pass
YG10 371 Pass 2.09 Pass
R1 149 Pass 1.65 Pass
R2 151 Pass 1.56 Pass
R3 217 Pass 1.70 Pass
R4 213 Pass 1.74 Pass
R5 169 Pass 1.86 Pass
R6 157 Pass 1.87 Pass
R7 272 Pass 1.99 Pass
R8 173 Pass 2.09 Pass
Detector
Gain
%RCV
Value Status Value Status
FSC 491 Pass 1.81 Pass
SSC 279 Pass 4.67 Pass
SSC-B 468 Pass 3.80 Pass
UV1 1301 Pass 3.89 Pass
UV2 629 Pass 2.00 Pass
UV3 437 Pass 1.58 Pass
UV4 456 Pass 1.54 Pass
UV5 453 Pass 1.45 Pass
UV6 583 Pass 1.38 Pass
UV7 855 Pass 1.38 Pass
UV8 751 Pass 1.34 Pass
UV9 990 Pass 1.36 Pass
UV10 550 Pass 1.30 Pass
UV11 719 Pass 1.40 Pass
UV12 622 Pass 1.47 Pass
UV13 878 Pass 1.67 Pass
UV14 1421 Pass 2.01 Pass
UV15 1100 Pass 2.23 Pass
UV16 1600 Pass 3.21 Pass
V1 319 Pass 2.63 Pass
V2 421 Pass 2.60 Pass
V3 409 Pass 2.54 Pass
V4 266 Pass 2.34 Pass
V5 290 Pass 2.21 Pass
V6 282 Pass 2.17 Pass
V7 369 Pass 2.01 Pass
V8 495 Pass 1.80 Pass
V9 449 Pass 1.72 Pass
V10 450 Pass 1.74 Pass
V11 354 Pass 1.67 Pass
V12 331 Pass 1.66 Pass
V13 295 Pass 1.66 Pass
V14 354 Pass 1.73 Pass
V15 527 Pass 1.83 Pass
V16 440 Pass 1.99 Pass
B1 1730 Pass 2.76 Pass
B2 1008 Pass 2.50 Pass
B3 889 Pass 2.22 Pass
B4 780 Pass 2.05 Pass
B5 703 Pass 1.86 Pass
B6 545 Pass 1.89 Pass
B7 1139 Pass 1.87 Pass
B8 800 Pass 1.90 Pass
B9 1112 Pass 2.00 Pass
B10 878 Pass 2.02 Pass
B11 531 Pass 2.22 Pass
B12 579 Pass 2.24 Pass
B13 674 Pass 2.52 Pass
B14 1020 Pass 2.79 Pass
YG1 719 Pass 4.44 Pass
YG2 732 Pass 4.13 Pass
YG3 465 Pass 4.05 Pass
YG4 941 Pass 3.89 Pass
YG5 715 Pass 3.37 Pass
YG6 929 Pass 2.74 Pass
YG7 625 Pass 2.41 Pass
YG8 620 Pass 2.49 Pass
YG9 690 Pass 2.36 Pass
YG10 751 Pass 2.78 Pass
R1 273 Pass 1.57 Pass
R2 273 Pass 1.46 Pass
R3 501 Pass 1.66 Pass
R4 414 Pass 1.64 Pass
R5 254 Pass 1.82 Pass
R6 285 Pass 2.00 Pass
R7 569 Pass 2.36 Pass
R8 295 Pass 3.01 Pass
#| '!! shinylive warning !!': |
#|   shinylive does not work in self-contained HTML documents.
#|   Please set `embed-resources: false` in your metadata.
#| standalone: true
#| viewerHeight: 450

webr::install("dplyr")
webr::install("gt")

library(shiny)
library(dplyr)
library(gt)

ui <- fluidPage(
  fluidRow(
    column(6,
           fluidRow(
             column(12, align = "center",
                    dateInput("date", label = "Select Date:", value = Sys.Date())
             )
           ),
           fluidRow(
             column(12, align = "center",
                    actionButton("btn_3L", label = "3L"),
                    actionButton("btn_4L", label = "4L"),
                    actionButton("btn_5L", label = "5L"),
                    actionButton("btn_CS", label = "CS")
             )
           ),
           fluidRow(
             column(12, align = "center",
                    actionButton("render", label = "Render Output")
             )
           ),
           # Output Section
           fluidRow(
             column(12,
                    tableOutput("qc_table")
             )
           )
    )
  )
)

server <- function(input, output, session) {
  
  data_path <-                                                
    paste(                                                  
      "https://raw.githubusercontent.com",                  
      "UMGCCFCSS", "InstrumentQC",                   
      "main", "data", "HistoricalData.csv",                              
      sep = "/"                                             
    ) 
  
  Data <- read.csv(data_path, check.names = FALSE)
  Data$Date <- as.Date(Data$Date) 
  
  function_path <-                                               
    paste(                                                  
      "https://raw.githubusercontent.com",                  
      "DavidRach", "Luciernaga",                   
      "master", "R", "DashboardHelpers.R",                              
      sep = "/"                                             
    )
  source(function_path)
  
  selected_instrument <- reactiveVal()
  
  observeEvent(input$btn_3L, { selected_instrument("3L") })
  observeEvent(input$btn_4L, { selected_instrument("4L") })
  observeEvent(input$btn_5L, { selected_instrument("5L") })
  observeEvent(input$btn_CS, { selected_instrument("CS") })

  table_data <- eventReactive(input$render, {
    req(input$date, selected_instrument())
    
    InstrumentSubset <- Data %>% filter(Instrument == selected_instrument())
    DateSubset <- InstrumentSubset %>% filter(Date == input$date)
    
    if (nrow(DateSubset) > 0) {
      TableData <- DateSubset %>% select(-Instrument, -Date)
      SmallTable(data = TableData)
    } else {
      NULL
    }
  })

  output$qc_table <- render_gt({
    req(table_data())
    table_data()
  })
}

app <- shinyApp(ui = ui, server = server)
Instruments
Date 3L 4L 5L CS
2026-04-30 Pass Pass Pass NA
2026-04-29 Pass Pass Pass NA
2026-04-28 Pass Pass Pass Pass
2026-04-27 Pass Pass Pass Pass
2026-04-24 Pass Pass Pass Pass
2026-04-23 Pass Pass Pass Pass
2026-04-22 Pass Pass Pass Pass
2026-04-21 Pass Pass Pass Pass
2026-04-20 Pass Pass Pass Pass
2026-04-17 Pass Pass Pass Pass
2026-04-16 Pass Pass Pass Pass
2026-04-15 Pass Pass Pass NA
2026-04-14 NA Pass Pass Pass
2026-04-13 NA Pass Pass Pass
2026-04-11 NA NA Pass NA

Dashboard data last updated on 2026-04-30

Definitions:

Pass: All gains within 100% baseline and all RCVs <6% for all detectors.

Caution: All gains within 100% baseline, but at least one detector had a RCV above the >6% cutoff. Instrument remains usable but resolution for fluorophores on the failed detector may decrease.

Fail: Either a gain exceeded 100% baseline, or RCVs exceeded >6% for at least one indicator detector. Significant variation and batch effects may occcur.

For additional information, navigate to the Help page.

About

This dashboard contains the visualized QC data for the Cytek and BD cytometers at the UMGCC FCSS

For additional flow cytometry resources, visit our website

This dashboard was created with Quarto and is maintained by David Rach

University of Maryland, Baltimore

 

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