cell culture dish for imaging cells Search Results


35mm fluorescence cell culture imaging dish  (Ibidi USA)
90
Ibidi USA 35mm fluorescence cell culture imaging dish
35mm Fluorescence Cell Culture Imaging Dish, supplied by Ibidi USA, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/cell+culture+dish+for+imaging+cells/35mm+fluorescence+cell+culture+imaging+dish/pm37976160-313-17-24
Average 90 stars, based on 1 article reviews
35mm fluorescence cell culture imaging dish - by Bioz Stars, 2026-09
90/100 stars
  Buy from Supplier
fluorescence cell culture imaging dish  (Ibidi USA)
90
Ibidi USA fluorescence cell culture imaging dish
KEY RESOURCES TABLE
Fluorescence Cell Culture Imaging Dish, supplied by Ibidi USA, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/cell+culture+dish+for+imaging+cells/fluorescence+cell+culture+imaging+dish/pmc10842785-134-2-8
Average 90 stars, based on 1 article reviews
fluorescence cell culture imaging dish - by Bioz Stars, 2026-09
90/100 stars
  Buy from Supplier
ugrid cell culture imaging dish  (ibidi GmbH)
90
ibidi GmbH ugrid cell culture imaging dish
Workflow of AMIT-v1 (shaded area) and AMITv2 (the full scheme). Numbers in brackets correspond to the five steps of AMIT-v1. Input image ( a ) is segmented with a Gaussian mixture model ( b ) into background (black), static objects (gray) and mobile objects (white). Mobile objects ( c ) are further segmented based on object area ( d ) into noise (dark gray), single cells (white) and <t>cell</t> clusters (light gray). Single cells ( e ) are tracked by overlap ( f ), and cell clusters ( g ) are split by ellipse fitting and added to the single cell tracklets ( h ). All tracklets are combined into the final AMIT-v1 tracks by graph optimization ( i ). To extract spreading cells, mobile and static objects are combined into one mask ( j ), noise is removed based on area ( k ), and grid lines of the <t>imaging</t> <t>dish</t> are removed via ellipse fitting ( l ). Remaining objects ( l ) are compared with the combined mask of static and mobile objects from AMIT-v1 ( m ), and only newly detected objects are kept ( n ). To disconnect spreading cells from the grid lines, ( j ) is processed by morphological opening and closing ( o ), and cells that do not overlap with any object from ( m ) or ( n ) are isolated ( p ). Images ( n ) and ( p ) are combined into the final spreading cell image ( q ). Spreading cells are tracked ( r ), and included in the graph optimization step to obtain final AMIT-v2 tracks ( s ). Panels ( f,h,i,r,s ) show a schematic representation of tracks, while all the other panels show different processing steps of the real image from ( a ).
Ugrid Cell Culture Imaging Dish, supplied by ibidi GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/cell+culture+dish+for+imaging+cells/ugrid+cell+culture+imaging+dish/pmc06397148-104-13-17
Average 90 stars, based on 1 article reviews
ugrid cell culture imaging dish - by Bioz Stars, 2026-09
90/100 stars
  Buy from Supplier

Image Search Results


KEY RESOURCES TABLE

Journal: Cell reports

Article Title: Abundant binary promoter switches in lineage-determining transcription factors indicate a digital component of cell fate determination

doi: 10.1016/j.celrep.2023.113454

Figure Lengend Snippet: KEY RESOURCES TABLE

Article Snippet: 35 mm fluorescence cell culture imaging dish , ibidi USA Inc , Cat#: 81158.

Techniques: Virus, Recombinant, Staining, Cloning, Reporter Assay, Cell Culture, Software, Fluorescence, Imaging

Workflow of AMIT-v1 (shaded area) and AMITv2 (the full scheme). Numbers in brackets correspond to the five steps of AMIT-v1. Input image ( a ) is segmented with a Gaussian mixture model ( b ) into background (black), static objects (gray) and mobile objects (white). Mobile objects ( c ) are further segmented based on object area ( d ) into noise (dark gray), single cells (white) and cell clusters (light gray). Single cells ( e ) are tracked by overlap ( f ), and cell clusters ( g ) are split by ellipse fitting and added to the single cell tracklets ( h ). All tracklets are combined into the final AMIT-v1 tracks by graph optimization ( i ). To extract spreading cells, mobile and static objects are combined into one mask ( j ), noise is removed based on area ( k ), and grid lines of the imaging dish are removed via ellipse fitting ( l ). Remaining objects ( l ) are compared with the combined mask of static and mobile objects from AMIT-v1 ( m ), and only newly detected objects are kept ( n ). To disconnect spreading cells from the grid lines, ( j ) is processed by morphological opening and closing ( o ), and cells that do not overlap with any object from ( m ) or ( n ) are isolated ( p ). Images ( n ) and ( p ) are combined into the final spreading cell image ( q ). Spreading cells are tracked ( r ), and included in the graph optimization step to obtain final AMIT-v2 tracks ( s ). Panels ( f,h,i,r,s ) show a schematic representation of tracks, while all the other panels show different processing steps of the real image from ( a ).

Journal: Scientific Reports

Article Title: Automated tracking of label-free cells with enhanced recognition of whole tracks

doi: 10.1038/s41598-019-39725-x

Figure Lengend Snippet: Workflow of AMIT-v1 (shaded area) and AMITv2 (the full scheme). Numbers in brackets correspond to the five steps of AMIT-v1. Input image ( a ) is segmented with a Gaussian mixture model ( b ) into background (black), static objects (gray) and mobile objects (white). Mobile objects ( c ) are further segmented based on object area ( d ) into noise (dark gray), single cells (white) and cell clusters (light gray). Single cells ( e ) are tracked by overlap ( f ), and cell clusters ( g ) are split by ellipse fitting and added to the single cell tracklets ( h ). All tracklets are combined into the final AMIT-v1 tracks by graph optimization ( i ). To extract spreading cells, mobile and static objects are combined into one mask ( j ), noise is removed based on area ( k ), and grid lines of the imaging dish are removed via ellipse fitting ( l ). Remaining objects ( l ) are compared with the combined mask of static and mobile objects from AMIT-v1 ( m ), and only newly detected objects are kept ( n ). To disconnect spreading cells from the grid lines, ( j ) is processed by morphological opening and closing ( o ), and cells that do not overlap with any object from ( m ) or ( n ) are isolated ( p ). Images ( n ) and ( p ) are combined into the final spreading cell image ( q ). Spreading cells are tracked ( r ), and included in the graph optimization step to obtain final AMIT-v2 tracks ( s ). Panels ( f,h,i,r,s ) show a schematic representation of tracks, while all the other panels show different processing steps of the real image from ( a ).

Article Snippet: A total of 2 × 10 5 PMN was added into a μGrid cell culture imaging dish (ibidi GmbH) containing a total volume of 2 ml of RPMI1640 with 5% heat-inactivated human serum and 2.5 ng ml −1 of propidium iodide (PI, Sigma).

Techniques: Imaging, Isolation