diff --git a/DESCRIPTION b/DESCRIPTION
index 59b9b69d5..b7b2bab76 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: AMR
-Version: 3.0.0
-Date: 2025-06-01
+Version: 3.0.0.9001
+Date: 2025-06-04
 Title: Antimicrobial Resistance Data Analysis
 Description: Functions to simplify and standardise antimicrobial resistance (AMR)
   data analysis and to work with microbial and antimicrobial properties by
diff --git a/NEWS.md b/NEWS.md
index a745477e7..90b852273 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,3 +1,11 @@
+# AMR 3.0.0.9001
+
+# Changed
+* Fix for `antibiogram()` for when no antimicrobials are set
+* Fixed some specific Dutch translations antimicrobials
+
+
+
 # AMR 3.0.0
 
 This package now supports not only tools for AMR data analysis in clinical settings, but also for veterinary and environmental microbiology. This was made possible through a collaboration with the [University of Prince Edward Island's Atlantic Veterinary College](https://www.upei.ca/avc), Canada. To celebrate this great improvement of the package, we also updated the package logo to reflect this change.
@@ -122,7 +130,7 @@ This package now supports not only tools for AMR data analysis in clinical setti
 
 ## Older Versions
 
-This changelog only contains changes from AMR v3.0 (March 2025) and later.
+This changelog only contains changes from AMR v3.0 (June 2025) and later.
 
 * For prior v2 versions, please see [our v2 archive](https://github.com/msberends/AMR/blob/v2.1.1/NEWS.md).
 * For prior v1 versions, please see [our v1 archive](https://github.com/msberends/AMR/blob/v1.8.2/NEWS.md).
diff --git a/R/antibiogram.R b/R/antibiogram.R
index b9df118a5..42eef9f4b 100755
--- a/R/antibiogram.R
+++ b/R/antibiogram.R
@@ -40,6 +40,7 @@
 #'   - A combination of the above, using `c()`, e.g.:
 #'     - `c(aminoglycosides(), "AMP", "AMC")`
 #'     - `c(aminoglycosides(), carbapenems())`
+#'   - Column indices using numbers
 #'   - Combination therapy, indicated by using `"+"`, with or without [antimicrobial selectors][antimicrobial_selectors], e.g.:
 #'     - `"cipro + genta"`
 #'     - `"TZP+TOB"`
@@ -452,7 +453,7 @@ antibiogram.default <- function(x,
     deprecation_warning("antibiotics", "antimicrobials", fn = "antibiogram", is_argument = TRUE)
     antimicrobials <- list(...)$antibiotics
   }
-  meet_criteria(antimicrobials, allow_class = "character", allow_NA = FALSE, allow_NULL = FALSE)
+  meet_criteria(antimicrobials, allow_class = c("character", "numeric", "integer"), allow_NA = FALSE, allow_NULL = FALSE)
   if (!is.function(mo_transform)) {
     meet_criteria(mo_transform, allow_class = "character", has_length = 1, is_in = c("name", "shortname", "gramstain", colnames(AMR::microorganisms)), allow_NULL = TRUE, allow_NA = TRUE)
   }
@@ -1194,12 +1195,13 @@ retrieve_wisca_parameters <- function(wisca_model, ...) {
 #' @rawNamespace if(getRversion() >= "3.0.0") S3method(pillar::tbl_sum, antibiogram)
 tbl_sum.antibiogram <- function(x, ...) {
   dims <- paste(format(NROW(x), big.mark = ","), AMR_env$cross_icon, format(NCOL(x), big.mark = ","))
+  names(dims) <- "An Antibiogram"
   if (isTRUE(attributes(x)$wisca)) {
-    names(dims) <- paste0("An Antibiogram (WISCA / ", attributes(x)$conf_interval * 100, "% CI)")
+    dims <- c(dims, Type = paste0("WISCA with ", attributes(x)$conf_interval * 100, "% CI"))
   } else if (isTRUE(attributes(x)$formatting_type >= 13)) {
-    names(dims) <- paste0("An Antibiogram (non-WISCA / ", attributes(x)$conf_interval * 100, "% CI)")
+    dims <- c(dims, Type = paste0("Non-WISCA with ", attributes(x)$conf_interval * 100, "% CI"))
   } else {
-    names(dims) <- paste0("An Antibiogram (non-WISCA)")
+    dims <- c(dims, Type = paste0("Non-WISCA without CI"))
   }
   dims
 }
diff --git a/R/translate.R b/R/translate.R
index c5eefa35e..ab89cc44b 100755
--- a/R/translate.R
+++ b/R/translate.R
@@ -258,6 +258,11 @@ translate_into_language <- function(from,
     return(from)
   }
 
+  if (only_affect_ab_names == TRUE) {
+    df_trans$pattern[df_trans$regular_expr == TRUE] <- paste0(df_trans$pattern[df_trans$regular_expr == TRUE], "$")
+    df_trans$pattern[df_trans$regular_expr == TRUE] <- gsub("$$", "$", df_trans$pattern[df_trans$regular_expr == TRUE], fixed = TRUE)
+  }
+
   lapply(
     # starting with longest pattern, since more general translations are shorter, such as 'Group'
     order(nchar(df_trans$pattern), decreasing = TRUE),
diff --git a/man/antibiogram.Rd b/man/antibiogram.Rd
index 7709eeaea..222cf9554 100644
--- a/man/antibiogram.Rd
+++ b/man/antibiogram.Rd
@@ -56,6 +56,7 @@ retrieve_wisca_parameters(wisca_model, ...)
 \item \code{c(aminoglycosides(), "AMP", "AMC")}
 \item \code{c(aminoglycosides(), carbapenems())}
 }
+\item Column indices using numbers
 \item Combination therapy, indicated by using \code{"+"}, with or without \link[=antimicrobial_selectors]{antimicrobial selectors}, e.g.:
 \itemize{
 \item \code{"cipro + genta"}