diff --git a/Project.toml b/Project.toml
index fa8298f..45ac26b 100644
--- a/Project.toml
+++ b/Project.toml
@@ -1,45 +1,45 @@
-name    = "Sainsc"
-uuid    = "4c4340ea-7f9e-46b4-8512-61f1f6c41a11"
+name = "Sainsc"
+uuid = "4c4340ea-7f9e-46b4-8512-61f1f6c41a11"
 authors = ["Niklas Müller-Bötticher <niklasmueboe@github.com>"]
 version = "0.1.0"
 
 [deps]
-BlockArrays       = "8e7c35d0-a365-5155-bbbb-fb81a777f24e"
-CSV               = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
+BlockArrays = "8e7c35d0-a365-5155-bbbb-fb81a777f24e"
+CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
 CategoricalArrays = "324d7699-5711-5eae-9e2f-1d82baa6b597"
-DataFrames        = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
-ImageFiltering    = "6a3955dd-da59-5b1f-98d4-e7296123deb5"
-LinearAlgebra     = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
-OffsetArrays      = "6fe1bfb0-de20-5000-8ca7-80f57d26f881"
-PooledArrays      = "2dfb63ee-cc39-5dd5-95bd-886bf059d720"
-SparseArrays      = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
-Unzip             = "41fe7b60-77ed-43a1-b4f0-825fd5a5650d"
+DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
+ImageFiltering = "6a3955dd-da59-5b1f-98d4-e7296123deb5"
+LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
+OffsetArrays = "6fe1bfb0-de20-5000-8ca7-80f57d26f881"
+PooledArrays = "2dfb63ee-cc39-5dd5-95bd-886bf059d720"
+SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
+Unzip = "41fe7b60-77ed-43a1-b4f0-825fd5a5650d"
 
 [weakdeps]
 AutomaticSingleCellToolbox = "e6202555-39b2-4a04-a024-3007b9347e88"
-CellScopes                 = "708d50d9-0a30-4b01-8594-5d83c0e43023"
-Muon                       = "446846d7-b4ce-489d-bf74-72da18fe3629"
-SingleCellProjections      = "03d38035-ed2f-4a36-82eb-797f1727ab2e"
+CellScopes = "708d50d9-0a30-4b01-8594-5d83c0e43023"
+Muon = "446846d7-b4ce-489d-bf74-72da18fe3629"
+SingleCellProjections = "03d38035-ed2f-4a36-82eb-797f1727ab2e"
 
 [extensions]
-AnnDataExt                    = "Muon"
+AnnDataExt = "Muon"
 AutomaticSingleCellToolboxExt = "AutomaticSingleCellToolbox"
-CellScopesExt                 = "CellScopes"
-SingleCellProjectionsExt      = "SingleCellProjections"
+CellScopesExt = "CellScopes"
+SingleCellProjectionsExt = "SingleCellProjections"
 
 [compat]
 AutomaticSingleCellToolbox = "0.9"
-BlockArrays                = "0.16,1"
-CSV                        = "0.10"
-CategoricalArrays          = "0.9,0.10"
-CellScopes                 = "1"
-DataFrames                 = "1"
-ImageFiltering             = "0.7"
-LinearAlgebra              = "1"
-Muon                       = "0.2"
-OffsetArrays               = "1.11"
-PooledArrays               = "1"
-SparseArrays               = "1"
-SingleCellProjections      = "0.3"
-Unzip                      = "0.2"
-julia                      = "1.9"
+BlockArrays = "0.16, 1"
+CSV = "0.10"
+CategoricalArrays = "0.9, 0.10"
+CellScopes = "1"
+DataFrames = "1"
+ImageFiltering = "0.7"
+LinearAlgebra = "1"
+Muon = "0.2"
+OffsetArrays = "1.11"
+PooledArrays = "1"
+SingleCellProjections = "0.3, 0.4"
+SparseArrays = "1"
+Unzip = "0.2"
+julia = "1.9"
diff --git a/README.md b/README.md
index 911b99e..fe7e5b0 100644
--- a/README.md
+++ b/README.md
@@ -4,6 +4,7 @@
 [![Dev](https://img.shields.io/badge/docs-dev-blue.svg)](https://niklasmueboe.github.io/Sainsc.jl/dev)
 [![Code Style: Blue](https://img.shields.io/badge/code%20style-blue-4495d1.svg)](https://github.com/invenia/BlueStyle)
 [![Aqua QA](https://raw.githubusercontent.com/JuliaTesting/Aqua.jl/master/badge.svg)](https://github.com/JuliaTesting/Aqua.jl)
+[![CI](https://github.com/niklasmueboe/Sainsc.jl/workflows/CI/badge.svg)](https://github.com/niklasmueboe/Sainsc.jl/actions?query=workflows/CI)
 
 /ˈsaiəns/
 
diff --git a/ext/SingleCellProjectionsExt.jl b/ext/SingleCellProjectionsExt.jl
index a3aa034..07e0d87 100644
--- a/ext/SingleCellProjectionsExt.jl
+++ b/ext/SingleCellProjectionsExt.jl
@@ -5,11 +5,11 @@ using SingleCellProjections: DataMatrix
 using Sainsc
 
 function Sainsc.getlocalmaxima(::Type{DataMatrix}, counts, localmax, kernel; genes=nothing)
-    return DataMatrix(getlocalmaxima(counts, localmax, kernel; genes=genes))
+    return DataMatrix(getlocalmaxima(counts, localmax, kernel; genes=genes)...)
 end
 
 function Sainsc.readstereoseqbinned(::Type{DataMatrix}, file, binsize::Integer)
-    return DataMatrix(readstereoseqbinned(file, binsize))
+    return DataMatrix(readstereoseqbinned(file, binsize)...)
 end
 
 end # module SingleCellProjectionsExt